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DBMS > AgensGraph vs. GigaSpaces vs. Interbase vs. Sphinx vs. VelocityDB

System Properties Comparison AgensGraph vs. GigaSpaces vs. Interbase vs. Sphinx vs. VelocityDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInterbase  Xexclude from comparisonSphinx  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsLight-weight proven RDBMS infooriginally from BorlandOpen source search engine for searching in data from different sources, e.g. relational databasesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSSearch engineGraph DBMS
Object oriented DBMS
Secondary database modelsGraph 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
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitebitnine.net/­agensgraphwww.gigaspaces.comwww.embarcadero.com/­products/­interbasesphinxsearch.comvelocitydb.com
Technical documentationbitnine.net/­documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.embarcadero.com/­products/­interbasesphinxsearch.com/­docsvelocitydb.com/­UserGuide
DeveloperBitnine Global Inc.Gigaspaces TechnologiesEmbarcaderoSphinx Technologies Inc.VelocityDB Inc
Initial release20162000198420012011
Current release2.1, December 201815.5, September 2020InterBase 2020, December 20193.5.1, February 20237.x
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
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 languageCJava, C++, .NetCC++C#
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
Android
iOS
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Any that supports .NET
Data schemedepending on used data modelschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infoXML can be used for describing objects metadatano infoexport as XML data possibleno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsyesSQL-like query language (SphinxQL)no
APIs and other access methodsCypher Query Language
JDBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Proprietary protocol.Net
Supported programming languagesC
Java
JavaScript
Python
.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Server-side scripts infoStored proceduresyesyesyes infoInterbase procedure and trigger languagenono
Triggersnoyes, event driven architectureyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Interbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardnoBased on Windows Authentication

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More resources
AgensGraphGigaSpacesInterbaseSphinxVelocityDB
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