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DBMS > GridGain vs. QuestDB vs. Sphinx vs. STSdb vs. TerminusDB

System Properties Comparison GridGain vs. QuestDB vs. Sphinx vs. STSdb vs. TerminusDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Relational DBMS
Time Series DBMSSearch engineKey-value storeGraph DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.34
Rank#124  Overall
#25  Key-value stores
#61  Relational DBMS
Score1.75
Rank#144  Overall
#10  Time Series DBMS
Score7.12
Rank#62  Overall
#8  Search engines
Score0.15
Rank#333  Overall
#47  Key-value stores
Score0.27
Rank#301  Overall
#27  Graph DBMS
Websitewww.gridgain.comquestdb.iosphinxsearch.comgithub.com/­STSSoft/­STSdb4terminusdb.com
Technical documentationwww.gridgain.com/­docs/­latestquestdb.io/­docs/­introductionsphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperGridGain Systems, Inc.QuestDB LimitedSphinx Technologies Inc.STS Soft SCDataChemist Ltd.
Initial release20072014200120112018
Current releaseGridGain 8.5.13.4.1, July 20214.0.8, September 201510.1.4, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC++C#Prolog, Rust
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
WindowsLinux
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes infoprimitive types and user defined types (classes)yes
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 indexesyesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language (SphinxQL)noSQL-like query language (WOQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Proprietary protocol.NET Client APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nononoyes
Triggersyes (cache interceptors and events)nononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportednoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Configurable consistency for N replicasnonenoneJournaling Streams
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 integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlSecurity Hooks for custom implementationsnonoRole-based access control
More information provided by the system vendor
GridGainQuestDBSphinxSTSdbTerminusDB infoformer name was DataChemist
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
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More resources
GridGainQuestDBSphinxSTSdbTerminusDB infoformer name was DataChemist
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