DBMS > Datastax Enterprise vs. LevelDB vs. Redis

System Properties Comparison Datastax Enterprise vs. LevelDB vs. Redis

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Editorial information provided by DB-Engines

Name

Description

DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

In-memory data structure store, used as database, cache and message broker info

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Primary database model

Wide column store

Key-value store

Key-value store info

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Secondary database models

Document store
Graph DBMS

Document store info

with Redis Modules
Graph DBMS info

with Redis Modules
Search engine info

with Redis Modules
Time Series DBMS info

with Redis Modules

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	8.66
Rank	#44	Overall
	#4	Wide column stores

Score	2.86
Rank	#89	Overall
	#15	Key-value stores

Score	148.75
Rank	#8	Overall
	#1	Key-value stores

Website

www.datastax.com/products/datastax-enterprise

github.com/google/leveldb

redis.io

Technical documentation

docs.datastax.com

github.com/google/leveldb/blob/master/doc/index.md

redis.io/documentation

Developer

DataStax

Google

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Initial release

2011

2009

Current release

6.7, December 2018

1.22, May 2019

5.0.7, November 2019

License

Commercial or Open Source

commercial

Open Source info

BSD

Open Source info

BSD 3-Clause, commercial license available

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

Linux
OS X

Illumos
Linux
OS X
Windows

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

with RediSearch module

SQL

Support of SQL

SQL-like DML and DDL statements (CQL); Spark SQL

APIs and other access methods

Proprietary protocol info

CQL (Cassandra Query Language)
TinkerPop Gremlin info

with DSE Graph

C++ API
Go
Java info

Third party binding
Node.js info

Third party binding
Python info

Third party binding

proprietary protocol info

RESP - REdis Serialization Protocol

Supported programming languages

C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

C++
Go

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Server-side scripts info

Stored procedures

Lua

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

no "single point of failure"

none

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

configurable replication factor, datacenter aware, advanced replication for edge computing

none

Master-slave replication info

Chained replication is supported
Multi-master replication info

with Redis Enterprise Pack

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency
Tunable Consistency info

consistency level can be individually decided with each write operation

Immediate Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Foreign keys info

Referential integrity

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Atomicity and isolation are supported for single operations

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability info

Support for making data persistent

yes

with automatic compression on writes

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

Access rights for users can be defined per object

Simple password-based access control info

Access control lists and SSL are available in the commercial version

More information provided by the system vendor

Specific characteristics

100% continuous availability, real-time, distributed, massive scale data management...
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Competitive advantages

Supporting the following application requirements: Contextual: complete data layer...
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Typical application scenarios

Applications that must serve contextual information and be always-on, distributed,...
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Key customers

Capital One, Cisco, Comcast, eBay, McDonaldâ€™s, Microsoft, Safeway, Sony, UBS, and...
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Market metrics

Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing models

Annual subscription
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