11 best alternatives to Cassandra as of 2018 - Slant

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RethinkDB

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. See More

Top Con

Cannot run queries from its CLI

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. See More

Top Con

No user accounts

This is just the database, you need to setup your own auth and user accounts (such as using Auth0). See More

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. See More

Top Pro

Changefeeds (change listeners)

You can listen to changes and trigger code based on these changes. See More

Top Pro

Horizontal scalability

RethinkDB is scalable horizontally. It has support for sharding, parallel queries and MVCC concurrency. See More

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. See More

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. See More

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71 14

PostgreSQL

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. See More

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. See More

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. See More

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. See More

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. See More

Top Pro

Multiple node packages available

There are many packages (like Sequelize) that integrate deeply with the features Postgres offers. See More

Top Pro

Actively developed

Regular fixes and features are released See More

Top 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. See More

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. See More

Specs

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150 3

Cloudant

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. See More

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. See More

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 See More

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. See More

Top 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. See More

6 0

ArangoDB

Top Pro

Easy cluster setup

Top Pro

Supports joins

Unlike many NoSQL databases, ArangoDB does support joins in AQL queries. See More

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. See More

Top Pro

Transaction save

You can use ACID Transactions for short and small data retrieval and/or modification operations in ArangoDB. See More

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. See More

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. See More

15 1

OrientDB

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. See More

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. See More

Top Pro

Distributed Graph Database with relational type Documents

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. See More

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. See More

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. See More

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. See More

Top Pro

Full text search

Full text search support is available when using Lucene based indexing algorithm. See More

Top Pro

Performance

OrientDB is very fast, especially when it comes to relationships between records (or "links"). See More

Top 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. See More

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.). See More

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. See More

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24 3

CouchDB

Top Pro

Works well between physical network partitions

CouchDB works very well even when the network is physically partitioned See More

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. See More

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 See More

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. See More

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. See More

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. See More

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. See More

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27 4

MarkLogic

Top Pro

High performance graph database

While known as a document-oriented noSQL database, MarkLogic also provides a standards-compliant triple store that can be used to enrich document-shaped data with semantic links. See More

Top Con

Lack of experts

MarkLogic is not as popular as some of it's peers, and even though it is highly standards-based, the pool of talent that is well-versed in the underlying technology is small compared with some competing platforms (e.g, Oracle, IBM, Apache). See More

Top Pro

Enterprise strength security and transactions

The two fatal flaws of many open source solutions is lack of integrated security at the element level and full ACID transaction support. MarkLogic has both and is trusted with some of the worlds most sensitive data. It is the engine that powers healthcare.gov, which despite some early problems (not caused by MarkLogic) is an amazing technological achievement. See More

Top Con

Enterprise software is not open source and can get expensive. Not for casual projects.

MarkLogic can be downloaded and implemented in development environments for free. However, for production use, it is priced for enterprises, not startups with tight budgets. Open source requires a lot more elbow grease to do the same thing. See More

Top Pro

Multi-model database

MarkLogic supports text, documents, key-value/tuple, graphs, tables and object models that don't require extensive data-modeling and normalization that is part of the lifecycle process of relational database management systems. For sites similar to LinkedIn, Facebook, IMDB and even search engines, MarkLogic provides a unique set of features that are all in one box. See More

Top Pro

No ETL Required

MarkLogic can store all your enterprise data in it's original format without needing to know a schema in advanced. You can shove pretty much any structured or unstructured data directly into MarkLogic, and it will automatically index everything and make it available for future processing. Of course it is fully schema aware and will apply and enforce schema constraints when available, but the tedious normalization that is required for relational databases is not necessary. See More

1 0

ConcourseDB

Top Pro

Built-in version control

Concourse tracks versions of your data by default. This way you can easily edit data without being afraid of losing anything since Concourse can easily revert to a previous state. See More

Top Con

Not very popular

Since ConcourseDB is not a very popular solution among developers, it may be hard to find libraries or SDKs to easily integrate it into any platform with which you are developing. See More

Top Pro

Fully ACID compliant

ConcourseDB is known to have a very holistic approach to robustness and data integrity which is reflected by it being fully ACID compliant. ConcourseDB 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. See More

Top Pro

Can easily query data from any point in the past

Because of its powerful version control capabilities, Concourse can easily and painlessly query and get data from any point in the past. See More

3 1

MySQL

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. See More

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. See More

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. See More

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. See More

42 14

MongoDB

Top 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. See More

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. See More

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. See More

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. See More

Top Pro

Perfect documentation and tutorials

Miles above other databases in educational resources. See More

Top Con

Reported to lose or corrupt data

MongoDB is famously known for leaking and losing data over time. See More

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. See More

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. See More

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