DBMS > Datastax Enterprise vs. LevelDB vs. Microsoft Access vs. Redis

System Properties Comparison Datastax Enterprise vs. LevelDB vs. Microsoft Access 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

Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. info

The Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)

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

Relational DBMS

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
Search engine

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	8.67
Rank	#44	Overall
	#4	Wide column stores

Score	3.06
Rank	#93	Overall
	#18	Key-value stores

Score	116.54
Rank	#11	Overall
	#7	Relational DBMS

Score	150.05
Rank	#8	Overall
	#1	Key-value stores

Website

www.datastax.com/products/datastax-enterprise

github.com/google/leveldb

products.office.com/en-us/access

redis.io

Technical documentation

docs.datastax.com

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

msdn.microsoft.com/en-us/library/office/ff604965.aspx

redis.io/documentation

Developer

DataStax

Google

Microsoft

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Initial release

2011

1992

2009

Current release

6.8, April 2020

1.22, May 2019

1902 (16.0.11328.20222), March 2019

6.0.5, June 2020

License

Commercial or Open Source

commercial

Open Source info

BSD

commercial info

Bundled with Microsoft Office

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

Windows

Not a real database server, but making use of DLLs

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

schema-free

yes

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

yes

but not compliant to any SQL standard

APIs and other access methods

Proprietary protocol info

CQL (Cassandra Query Language)
TinkerPop Gremlin info

with DSE Graph

ADO.NET
DAO
ODBC
OLE DB

proprietary protocol info

RESP - REdis Serialization Protocol

Supported programming languages

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

C++
Go
Java info

3rd party binding
JavaScript (Node.js) info

3rd party binding
Python info

3rd party binding

C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET

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

yes

since Access 2010 using the ACE-engine

Lua

Triggers

yes

since Access 2010 using the ACE-engine

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

yes

Transaction concepts info

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

Atomicity and isolation are supported for single operations

ACID

but no files for transaction logging

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

but no files for transaction logging

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

a simple user-level security was built in till version Access 2003

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

DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantages

Supporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenarios

Applications that must be massively and linearly scalable with 100% uptime and able...
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Key customers

Capital One, Cisco, Comcast, eBay, McDonald'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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