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DBMS > GridGain vs. H2GIS vs. QuestDB vs. SpatiaLite

System Properties Comparison GridGain vs. H2GIS vs. QuestDB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonH2GIS  Xexclude from comparisonQuestDB  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteSpatial extension of H2A high performance open source SQL database for time series dataSpatial extension of SQLite
Primary database modelKey-value store
Relational DBMS
Spatial DBMSTime Series DBMSSpatial DBMS
Secondary database modelsRelational DBMSRelational DBMSRelational DBMS
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
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitewww.gridgain.comwww.h2gis.orgquestdb.iowww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.h2gis.org/­docs/­homequestdb.io/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperGridGain Systems, Inc.CNRSQuestDB Technology IncAlessandro Furieri
Initial release2007201320142008
Current releaseGridGain 8.5.15.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaJava (Zero-GC), C++, RustC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
server-less
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL with time-series extensionsyes
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
PostgreSQL wire protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infobased on H2nono
Triggersyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infobased on H2Source-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped filesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infobased on H2no
More information provided by the system vendor
GridGainH2GISQuestDBSpatiaLite
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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