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What is the best alternative to Orchestrate?
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Cloudant
All
5
Experiences
Pros
4
Cons
1
Top
Pro
Can replicate the database across several hosts
You can choose to host your database on a single cloud provider or you can replicate it over several different providers.
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Top
Con
Can only achieve consistency through replication and verification
Since CouchDB is considered an AP (Available, Partition-Tolerant database management system), it is not really consistent (not all clients can have the same view of the data consistently) and the only way to achieve some "eventual consistency" is through replication and verification of data.
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Top
Pro
Runs on both bare-metal and virtual machine
Users can choose whether their database instance will run on bare-metal or a virtual machine
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Top
Pro
Crash friendly
The database behind Cloudant, CouchDB uses an append-only file for it's data. To restore already used up space, a compaction must happen. When this happens is up to the database maintainer.
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Pro
Cloud agnostic
Cloudant hosts databases with a lot of different cloud hosting providers including Amazon, Rackspace, SoftLayer and Microsoft Azure. This way customers can choose where their database is hosted.
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8
0
ScaleGrid
All
4
Experiences
Pros
3
Cons
1
Top
Pro
Extensive comparison with the other top services
https://scalegrid.io/mongodb/hosting-comparison.html
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Top
Con
Very few reviews
https://news.ycombinator.com/item?id=9937423
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Top
Pro
"Bring your own cloud" plans
https://help.scalegrid.io/docs/getting-started-bring-your-own-cloud-plans
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Top
Pro
90% off pricing for startups
https://scalegrid.io/pricing/offers/startup-program.html
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3
0
PostgreSQL
All
11
Experiences
Pros
9
Cons
1
Specs
Top
Pro
High performance
PostgreSQL performance increases with each release, this is also proven by many benchmark tests. Notable performance features include: As PostgreSQL only supports one storage engine, it has been able to integrate and optimise it and with the rest of the database. This has resulted in multiple benefits such as the ability to allow different transaction types to co-exist efficiently without the need to select storage engine types once for each table ahead of time. On the fly data compression resulting in less IO required for reading. Asynchronous + synchronous Replication. PostgreSQL supports a asynchronous API for use by client applications. It is reported to increase performance by up to 40% and is not supported by MySQL. Designed to scale very well with large numbers of cores at high concurrency levels.
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Top
Con
Not suited for small apps
Because of it's complexity and power, it may be an overkill to use PostgreSQL in small applications that will not make use of it's full power.
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Top
Pro
Fully ACID compliant
PostgreSQL is known to have a very holistic approach to robustness and data integrity which is reflected by it being fully ACID compliant. PostgreSQL has always been strict about making sure data is valid before allowing it into the database, and there is no way for a client to bypass those checks. Depending on your requirements, ACID compliance might be important.
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Top
Pro
Strong community
PostgreSQL has a strong community backing it, with guides, tutorials and support for any kind of problem a developer may have.
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Top
Pro
Support for JSON data type
JSON data can be stored as a column with optional indexes. In 9.4 (upcoming at the time of this writing), JSONB will be a binary version of JSON that will save space. It's like the best of the NO-SQL world without having to give up ACID and Relationships. This means that cascading deletes can be done in a single Transaction across multiple JSON documents.
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Pro
Actively developed
Regular fixes and features are released
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Pro
Support for geographic objects
PostgreSQL can be extended to have geographic object support through PostGIS and allows for location queries to be run through SQL.
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Top
Pro
Multiple node packages available
There are many packages (like Sequelize) that integrate deeply with the features Postgres offers.
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Top
Pro
Support Perl and Python for coding stored procedures
Postgres supports popular languages for coding stored procedures, such as Perl and Python. So, you can fairly easy transform just DB-server to reliable Service with complex business logic.
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Top
Pro
Open Source, powerful and on par with other paid RDBMS'
It is a powerful, open source product that has all the bells and whistles when compared with its costly, proprietary counterparts.
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Specs
Platforms:
Windows, Linux, Mac, BSD
Technology:
C
JSON?:
Yes
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Experiences
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352
33
F(x) Data Cloud
All
7
Experiences
Pros
5
Cons
1
Specs
Top
Pro
Option for hosting the database service on the cloud server.
If you wanna host your database on the cloud server, you can have both the option as Database as a Service (Pre-installed and managed database) or Infrastructure as a Service (If you want to have root access and manually want to install the database).
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Top
Con
No GPU provided
GPU is not provided.
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Top
Pro
High uptime
All the cloud services are with 99.95% uptime.
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Top
Pro
Cost-friendly
F(x) Data Cloud provides public cloud server at a cheap price. The basic plan starts at $1.99/month.
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Top
Pro
Great Support
Typically answers in minute.
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Top
Pro
Provides high configurations
They provide 32 vCPU, 128 GB RAM, 2000 GB SSD, 9 TB network. For large businesses, high configurations are required.
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Specs
Server locations:
United States
ISOs:
Ubuntu, Fedora, Debian, CentOS, OpenSUSE, Windows
Virtualization:
KVM
Cloud Storage:
Yes
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44
8
OrientDB
All
13
Experiences
Pros
9
Cons
3
Specs
Top
Pro
Multi-model database (document, object, graph)
This database is primarily, or historically, thought of as a graph database. However, it is actually a multi-model database that supports a variety of noSQL models (key-value, document, etc.).
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Top
Con
Not well known
It's a very unfortunate thing, but it's true. Not many people know of this gem so that makes it difficult to find community support at times. It also makes it hard to get people on board with it who shop products by brand name or flashy marketing. It also means there are fewer code snippets, libraries, and frameworks that consider it. While it's interoperability is good with SQL support and Tinkerpop, it still doesn't change the fact that many things don't give it much thought and that can lead to more work as a developer sometimes.
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Top
Pro
Open Source commercial friendly license (Apache 2)
The Apache 2 license is one of the most liberal licenses. You can use OrientDB for any purpose for free.
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Top
Con
Learning curve
A lot of effort went into making OrientDB easy and familiar to use (such as SQL queries for example). However, it's important to understand the database engine a bit and how it works in general (links for example). This involves a bit of a learning curve if you're not familiar with graph databases. Not an enormous curve or anything, but it's still a consideration.
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Top
Pro
Free clustering support
Unlike other NoSql databases, OrientDB offers clustering support for free. Furthermore, it's not a basic Master/Slave, but it supports Master-Master replication + Sharding.
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Top
Con
Bulk inserts may cause an out of memory crash
When doing inserts in OrientDB you have to be careful to do them one at a time. Bulk inserts may cause out of memory error.
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Top
Pro
Distributed Graph Database with relational type Documents
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Top
Pro
Supports sql as well as other query languages
It can be queried in a number of ways, but the ability to query with SQL makes it a bit more familiar to use.
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Top
Pro
Multi-master replication
OrientDB is incredibly scalable thanks to its multi-master replication. All nodes in a cluster can both read and write.
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Pro
Full text search
Full text search support is available when using Lucene based indexing algorithm.
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Top
Pro
Performance
OrientDB is very fast, especially when it comes to relationships between records (or "links").
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Pro
Enterprise version available
The Community Edition is free and covers many features, but an Enterprise Edition is available (prices are transparent, published online) with 24x7 support.
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Specs
Platforms:
Windows, Linux, Mac
Technology:
Java
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Experiences
Free
41
11
SQLite
All
11
Experiences
Pros
8
Cons
2
Specs
Top
Con
No multi user
Lacks multi-user capabilities, see SQLite vs. MySQL vs. PostgreSQL: A Comparison of Relational Databases. Also see: Appropriate Uses For SQLite.
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Top
Pro
Small
SQLite is also only 350KiB in size.
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Top
Con
Some SQL features are missing
SQLite is made to be extremely lightweight and portable, but it still uses SQL. However, some SQL features such as RIGHT OUTER JOIN and FOR EACH STATEMENT are missing.
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Top
Pro
Great language support
SQLite has bindings for a large number of programming languages, including BASIC, Delphi, C, C#, C++, Clipper//Harbour, Common Lisp, Curl, D, Free Pascal, Haskell, Java, JavaScript, Livecode, Lua, newLisp, Objective-C (on OS X and iOS), OCaml, Perl, PHP, Pike, PureBasic, Python, R, REALbasic, REBOL, Ruby, Scheme, Smalltalk, Tcl, Visual Basic.
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Top
Pro
Self-contained
SQLite is largely self-contained. It requires very minimal support from external libraries or from the operating system.
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Pro
Portable
An SQLite database is a single ordinary disk file that can be located anywhere in the directory hierarchy. It works by sending requests to a single file where all the data is kept instead of communicating with a hosted database which gives access to an interface by making use of sockets and ports. The file format used is also cross-platform, so can easily be migrated to various machines. This makes SQLite extremely portable throughout different applications, all that's needed to transfer the whole database is to make a copy of the file.
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Top
Pro
Great for testing and first stages of development 
Because of it's ability to scale and with the portability that a single-file database gives you without losing much of the power and features that SQL gives developers, it's a great choice for testing applications and for the early stages of development when the workload and the data that needs to be stored is not that large.
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Top
Pro
Not unnecessarily fiddly
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Pro
Reliable
With less complication, there is less to go wrong.
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Pro
Zero configuration
There is literally no configuration required to get SQL lite up and running. This is mainly due to SQLite being serverless, there is no separate server process to install, setup, configure, initialize, manage, and troubleshoot.
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Specs
Platforms:
Windows, Linux, Mac, Android, IPhone
Technology:
C
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Experiences
Free
185
41
Apache Cassandra
All
5
Experiences
Pros
4
Cons
1
Top
Con
No JOINS
Cassandra has no support for JOINS.
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Top
Pro
Highly available cluster
Once setup database is set up, it becomes highly available without any downtime.
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Top
Pro
Highly scalable
Cassandra is very scalable and achieves the highest throughput for the maximum number of nodes compared to other alternatives. Unfortunately this also brings rather high write and read latencies.
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Top
Pro
Familiar to developers used to SQL
The query language that Cassandra uses (CQL) is similar to SQL even though it's a NoSQL database.
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Top
Pro
Rapid writing and lightning-fast reading
After measuring the read/write performance values on one server, you can simply calculate how many more servers you should add to the cluster to reach the required performance levels, and scale easily.
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13
5
MySQL
All
5
Experiences
Pros
3
Cons
1
Specs
Top
Pro
Scalable
MySQL is made to handle a lot of data and to be used in large applications. This makes it extremely scalable and fast, even under a lot of workload.
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Top
Con
Error messages usually are not very detailed
When you are trying to do something in MySQL and something goes wrong it will simply give you an error message with an error code. Which does not say much about what went wrong unless you look it up online. This can be a little cumbersome during development.
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Top
Pro
Multiple third-party tools that help working with MySQL
Since MySQL is one of the most popular relational databases, maybe the most popular, there exist many third-party tools and applications that help developers to use MySQL in their development.
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Top
Pro
Easy to start working with
Because of it's popularity there are a lot of tutorials and guides out there that help developers install and work with MySQL. The installation process itself is not very hard and there are multiple powerful GUI tools that make it extremely easy to work with MySQL for a beginner.
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Specs
Technology:
C/C++
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108
32
ArangoDB
All
7
Experiences
Pros
6
Specs
Top
Pro
Document and graph-orientend
You can model your data as documents or as a graph - no data model lock-in. You can even combine both models and use them in a single AQL query.
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Top
Pro
Supports joins
Unlike many NoSQL databases, ArangoDB does support joins in AQL queries.
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Top
Pro
JavaScript-API
You can extend ArangoDB using JavaScript that runs directly on the Server (Google V8). You can build data-centric microservices that aggregate, validate, transform or enrich data (It's up to you, plain JavaScript) and provide those via a custom API route.
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Top
Pro
Transaction save
You can use ACID Transactions for short and small data retrieval and/or modification operations in ArangoDB.
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Top
Pro
Easy cluster setup
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Top
Pro
Powerful Java Driver (Sync & Async)
ArangoDB has a very good Java Driver for synchronous and asynchronous. In addition the team there is working on a Spring Data integration.
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Specs
Platforms:
Windows, Linux, Mac
Technology:
C++
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Experiences
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36
13
Oracle Database
All
10
Experiences
Pros
7
Cons
3
Top
Pro
World wide technical support
Oracle is a large company with specialists in a lot of countries. It's very easy to find consultants and any kind of help with Oracle.
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Top
Con
Proprietary
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Top
Pro
Useful features for daily workflow
Some of the most important features are the partitioning option, active data guard, and security options. All of these are very useful for daily workflow.
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Top
Con
Terrible company reputation
Oracle is very (in)famous for being involved in a number of controversies. Some of them have ended up in lawsuits with other tech companies because of license disputes. The latest one is a lawsuit against Google for Google's implementation of JAVA in their Android ecosystem.
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Top
Pro
Stable
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Con
Ghost data
To work around ghost data you can after encrypting something, manually move everything out of the old table space and then shred those data files. To be able to get rid of ghost data automatically would be great.
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Top
Pro
Secure
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Top
Pro
Scalable
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Pro
Reduced downtime during upgrades
Oracle Database has parallel upgrading for high available applications. Updates are made in parallel without keeping the database down.
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Top
Pro
High performance parallel quesries
Oracle Database has introduced concurrent execution of union branches, which means that one set of parallel servers will execute one branch, a second set will execute another branch and so on. Instead of the old system where each branch executed one after the other.
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Experiences
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36
13
Redis
All
4
Experiences
Pros
4
Top
Pro
Redis is written in ANSI C and therefore doesn't have a VM
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Top
Pro
Good support
Redis has great docs, an active mailing list, and a github community.
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Top
Pro
Redis uses the BSD license
This means that it is able to be used in a commercial product if one wants.
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Top
Pro
There are numerous client libraries and frameworks to make redis more powerful
For Node.JS for example you can get something similar to what Parse.com was offering by using Node ORM.
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59
20
RethinkDB
All
10
Experiences
Pros
7
Cons
2
Specs
Top
Pro
Easy install
Only takes about 30 seconds to install. They also have a docker file for running it on AWS, Google Cloud or your own.
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Top
Con
Cannot run queries from its CLI
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Top
Pro
Changefeeds (change listeners)
You can listen to changes and trigger code based on these changes.
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Top
Con
No user accounts
This is just the database, you need to setup your own auth and user accounts (such as using Auth0).
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Top
Pro
Powerful query language
RethinkDB's ReQL is a very powerful functional query language. The functional aspects of ReQL and the straightforward implementation of the Node driver for Rethinkdb make it a natural fit for Javascript developers. You no longer have to type some obscure syntax in quotes (aka SQL), your queries are just "natural" Javascript functions in the same way you would use lodash to handle your collections.
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Top
Pro
Auto master promotion
Unlike a lot of other databases where if the master is down the system is down, this one if the master is down someone else is made master so much more peer to peer.
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Top
Pro
CLI and web administration tools
RethinkDB has administration tools in both CLI and GUI (web app). You can view whats going on right away by going to localhost:8080. The data explorer allows you to run queries on the db.
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Top
Pro
Horizontal scalability
RethinkDB is scalable horizontally. It has support for sharding, parallel queries and MVCC concurrency.
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Top
Pro
Ease of cluster setup
You can directly tell it to shard/replicate and how many shards/replicas depending on the amount of nodes. Each node doesn't need anything except one other node's ip/port in the cluster to join and maybe the auth.
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Specs
Platforms:
Windows, Linux, Mac
Technology:
C++, Python
JSON?:
Yes
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Experiences
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120
44
CouchDB
All
8
Experiences
Pros
5
Cons
2
Specs
Top
Pro
Works well between physical network partitions
CouchDB works very well even when the network is physically partitioned
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Top
Con
Can only achieve consistency through replication and verification
Since CouchDB is considered an AP (Available, Partition-Tolerant database management system), it is not really consistent (not all clients can have the same view of the data consistently) and the only way to achieve some "eventual consistency" is through replication and verification of data.
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Top
Pro
Available
CouchDB is considered an available DMS according to the ACP theory of database management. As such it allows every client to always read and write
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Top
Con
Uncertain future
After a very promising start, development began to drag after major supporters like Canonical, Selenium and CouchOne either shut down or moved to other tools. Development has begun to pick up again.
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Top
Pro
Useful for applications where versioning is important
CouchDB is mostly used in applications where a large amount of data needs to be accumulated and where data only changes rarely.
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Top
Pro
Changes API
You can use the RESTful API to listen for changes in your database, which is something most databases can't do. It makes it really easy for clients to keep their view of data up-to-date.
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Top
Pro
RESTful API
Since everything is stored as a JSON document and served over HTTP, it's perfectly suited for communicating with client-side javascript, with or without middleware.
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Specs
Platforms:
Windows, Linux, Mac, Android, BSD
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Experiences
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54
22
MongoDB
All
9
Experiences
Pros
5
Cons
3
Specs
Top
Pro
Great speed
MongoDB queries can be very fast because the data is usually all in one place and can easily be retrieved in a single lookup. But this is true only when the data is truly a document. When it's trying to emulate a relational model it starts to become really slow because it may have to perform many independent queries to retrieve a single document.
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Top
Con
Reported to lose or corrupt data
MongoDB is famously known for leaking and losing data over time.
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Top
Pro
Perfect documentation and tutorials
Miles above other databases in educational resources.
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Top
Con
Document Stores may be not suited for relational data
MongoDB has no JOIN, all relations are supposed to be resolved client-size which entails additional requests to the server.
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Top
Pro
Uses JSON
As Node.js uses JavaScript there's no need to map the returned JSON data from MongoDB, as JavaScript is a superset of JSON. Essentially solving object-relational impedance mismatch by its very nature. Working with JSON is also easier overall as it more easily fits into how you would represent data on the client.
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Top
Con
Need many search features
Though it is possible to index and search text in documents in MongoDB 4.0 in multiple languages. The indexing and search is not as powerful as for example Elastic Search. For instance not being able to search for only parts of words.
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Top
Pro
Doesn't require a unified data structure
Mongo is very flexible in that it doesn't require a unified data structure across all objects. So it's rather easy to use.
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Pro
Easy to scale
MongoDB has powerful sharding and scaling capabilities for when the data stored in the database gets so large that a single machine may not be able to store all of it. Sharding solves this problem through horizontal scaling. Mongo gives developers the ability to easily and painlessly add or remove as many machines as needed.
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Specs
Platforms:
Windows,Mac,Linux
JSON?:
true
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Experiences
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130
54
Compose
All
3
Experiences
Pros
2
Cons
1
Top
Pro
Low cost
The full service costs $45/month and there is also an option of 30 days free trial.
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Top
Con
Horrible support
Support unhelpful. Their only solution to issues is to upgrade the instance size.
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Top
Pro
Full stats reporting
All statistics are fully aggregated and reported. Nothing is withheld or hidden.
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2
1
Couchbase
All
9
Experiences
Pros
6
Cons
3
Top
Con
Vendor lock-in
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Pro
Open source
Couchbase and Couchbase Mobile are open source and released under the Apache License.
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Top
Con
No model mapper for Android
Couchbase does not have a model mapper for Android built-in and out of the box, instead you will have to write your own from scratch.
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Top
Pro
Easy to implement N1QL queries
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Con
Not Compatible with couchdb
Since version 2 the sync-protocol is no longer compatible with couchdb. This makes couchbase nearly worthless
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Top
Pro
Ability to run ad-hoc SQL like queries on realtime big data
Couchbase N1QL allows native SQL processing over JSON data with high performance indexing for low latency queries at scale.
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Top
Pro
Easy sync protocol to mobile devices
The minimal code needed to pull data down to a device
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Top
Pro
Available on Windows, Linux & macOS
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Top
Pro
Ability to make predefined fast queries
With Couchbase you can make "Views" of data, which are practically predefined queries which are fetched with an O(1) algorithm.
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Experiences
Free / paid
56
45
Amazon DynamoDB
All
5
Experiences
Pros
4
Cons
1
Top
Pro
Easy integration with other Amazon services
Since it's part of AWS, like with other services that Amazon provides, it's very easy to integrate DynamoDB with any other AWS service that you may be using.
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Top
Con
Poor documentation
In true AWS fashion, the documentation for DynamoDB is not top notch. While the learning curve is generally very soft and it's not hard to learn, you need to have at least some experience with cloud and database management to be able to start using DynamoDB and understand the documentation.
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Top
Pro
High uptime
Data hosted on DynamoDB is automatically replicated across multiple AWS availability zones, this way the data is protected from any malfunction that may cause loss and it also ensures high uptime.
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Top
Pro
Trigger tasks (AWS Lambda) on write
When a new record is written, it can trigger one or many AWS Lambda functions. With Lambda functions in Java, JavaScript, and Python and the other con of "Easy integration with other Amazon services", Lambda functions may be all you need to process the events. This is particularly useful for creating projections (often as other DynamoDB tables) and other read models in a CQRS pattern.
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Top
Pro
Free tier
DynamoDB offers a free tier which allows up to 40 million database operations a month for free.
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1
1
MongoLab
All
3
Experiences
Pros
1
Cons
2
Top
Pro
Great support (at least before the acquisition by MongoDB)
https://news.ycombinator.com/item?id=18179819
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Top
Con
Acquired by MongoDB
https://news.ycombinator.com/item?id=18179819
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Con
SSL only available starting at $180/month
https://mlab.com/plans/
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