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DBMS > Datastax Enterprise vs. EJDB vs. Faircom EDGE vs. GridGain vs. TimesTen

System Properties Comparison Datastax Enterprise vs. EJDB vs. Faircom EDGE vs. GridGain vs. TimesTen

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGridGain  Xexclude from comparisonTimesTen  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGridGain is an in-memory computing platform, built on Apache IgniteIn-Memory RDBMS compatible to Oracle
Primary database modelWide column storeDocument storeKey-value store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.27
Rank#297  Overall
#44  Document stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edgewww.gridgain.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.datastax.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.gridgain.com/­docs/­index.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperDataStaxSoftmotionsFairCom CorporationGridGain Systems, Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20112012197920071998
Current release6.8, April 2020V3, October 2020GridGain 8.5.111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaCANSI C, C++Java, C++, .Net
Server operating systemsLinux
OS X
server-lessAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Typesyesyes
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.noyesyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyes infoANSI SQL queriesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
in-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++yes (compute grid and cache interceptors can be used instead)PL/SQL
Triggersyesnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes (compute grid and hadoop accelerator)no
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
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Security Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
Datastax EnterpriseEJDBFaircom EDGE infoformerly c-treeEDGEGridGainTimesTen
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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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

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More resources
Datastax EnterpriseEJDBFaircom EDGE infoformerly c-treeEDGEGridGainTimesTen
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