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DBMS > Datastax Enterprise vs. Raima Database Manager vs. TerarkDB

System Properties Comparison Datastax Enterprise vs. Raima Database Manager vs. TerarkDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionDataStax 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.RDBMS with a small footprint, either embedded into an application or used as a database serverA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelWide column storeRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.66
Rank#44  Overall
#4  Wide column stores
Score0.36
Rank#230  Overall
#107  Relational DBMS
Score0.05
Rank#309  Overall
#52  Key-value stores
Websitewww.datastax.com/­products/­datastax-enterpriseraima.comgithub.com/­Terark/­terarkdb
Technical documentationdocs.datastax.comdocs.raima.comgithub.com/­Terark/­terarkdb/­wiki
DeveloperDataStaxRaima Inc.Terark
Initial release201119842016
Current release6.7, December 201814.1
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsLinux
OS X
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Objective-C
PL/SQL
C++
Java
Server-side scripts infoStored proceduresnoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectnono
More information provided by the system vendor
Datastax EnterpriseRaima Database Manager infoformerly named db_VistaTerarkDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
News

Raima comes to FreeRTOS
19 July 2019

NO OS Support, New Geospatial Query Types and Optimization
24 April 2019

Raima Database Manager subsea in Aker Solutions’ Vectus™ 6.0 control system
9 April 2019

Raima Releases RDM v14.1 embedded database with support for VxWorks and Wind River Linux
12 April 2018

Raima Releases RDM 14.1, a New Powerful High-Performance Embedded Database Manager
12 April 2018

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Datastax EnterpriseRaima Database Manager infoformerly named db_VistaTerarkDB
Recent citations in the news

Graphileon to Support DataStax Enterprise Graph
17 June 2019, Business Wire

Datastax Launches Tech Support for Open Source Cassandra
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Introducing DataStax Luna, Enterprise Support for Apache Cassandra
17 December 2019, Business Wire

DataStax's path from Cassandra
30 May 2019, ZDNet

US Bank is using DataStax Enterprise to overcome legacy and become customer focused
23 May 2019, Diginomica

provided by Google News

A Chinese company is making the cloud 200x faster
3 July 2017, TechNode

ByteDance eyes big data push with Terark acquisition
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News

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