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DBMS > AgensGraph vs. BigchainDB vs. eXtremeDB vs. GridGain vs. Sphinx

System Properties Comparison AgensGraph vs. BigchainDB vs. eXtremeDB vs. GridGain vs. Sphinx

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGridGain  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsNatively in-memory DBMS with options for persistency, high-availability and clusteringGridGain is an in-memory computing platform, built on Apache IgniteOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
Relational DBMS
Document storeRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitebitnine.net/­agensgraphwww.bigchaindb.comwww.mcobject.comwww.gridgain.comsphinxsearch.com
Technical documentationbitnine.net/­documentationbigchaindb.readthedocs.io/­en/­latestwww.mcobject.com/­docs/­extremedb.htmwww.gridgain.com/­docs/­index.htmlsphinxsearch.com/­docs
DeveloperBitnine Global Inc.McObjectGridGain Systems, Inc.Sphinx Technologies Inc.
Initial release20162016200120072001
Current release2.1, December 20188.2, 2021GridGain 8.5.13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL v3commercialcommercialOpen Source infoGPL version 2, commercial licence available
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.
Implementation languageCPythonC and C++Java, C++, .NetC++
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedepending on used data modelschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonono infosupport of XML interfaces availableyes
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyes infowith the option: eXtremeSQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)
APIs and other access methodsCypher Query Language
JDBC
CLI Client
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol
Supported programming languagesC
Java
JavaScript
Python
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes infoby defining eventsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioning / shardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesSecurity Hooks for custom implementationsno
More information provided by the system vendor
AgensGraphBigchainDBeXtremeDBGridGainSphinx
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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AgensGraphBigchainDBeXtremeDBGridGainSphinx
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