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DBMS > GridGain vs. Sphinx vs. TerminusDB vs. VoltDB vs. YDB

System Properties Comparison GridGain vs. Sphinx vs. TerminusDB vs. VoltDB vs. YDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVoltDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen source search engine for searching in data from different sources, e.g. relational databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value store
Relational DBMS
Search engineGraph DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.gridgain.comsphinxsearch.comterminusdb.comwww.voltdb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.gridgain.com/­docs/­index.htmlsphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#docs.voltdb.comydb.tech/­en/­docs
DeveloperGridGain Systems, Inc.Sphinx Technologies Inc.DataChemist Ltd.VoltDB Inc.Yandex
Initial release20072001201820102019
Current releaseGridGain 8.5.13.5.1, February 202311.0.0, January 202311.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro EditionsOpen Source infoApache 2.0; commercial license 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 languageJava, C++, .NetC++Prolog, RustJava, C++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxLinux
OS X infofor development
Linux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.yesnono
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)SQL-like query language (WOQL)yes infoonly a subset of SQL 99SQL-like query language (YQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Java API
JDBC
RESTful HTTP/JSON API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesJavano
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneJournaling StreamsMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infoFOREIGN KEY constraints are not supportedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoTransactions are executed single-threaded within stored proceduresACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journalingyes infoSnapshots and command loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsnoRole-based access controlUsers and roles with access to stored proceduresAccess rights defined for Yandex Cloud users

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