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DBMS > GridGain vs. JaguarDB vs. PostGIS vs. Quasardb vs. Vertica

System Properties Comparison GridGain vs. JaguarDB vs. PostGIS vs. Quasardb vs. Vertica

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsSpatial extension of PostgreSQLDistributed, high-performance timeseries databaseCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelKey-value store
Relational DBMS
Key-value store
Vector DBMS
Spatial DBMSTime Series DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSSpatial DBMS
Time Series 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
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitewww.gridgain.comwww.jaguardb.compostgis.netquasar.aiwww.vertica.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmlpostgis.net/­documentationdoc.quasar.ai/­mastervertica.com/­documentation
DeveloperGridGain Systems, Inc.DataJaguar, Inc.quasardbOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20072015200520092005
Current releaseGridGain 8.5.13.3 July 20233.4.2, February 20243.14.1, January 202412.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoGPL v2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++ infothe server part. Clients available in other languagesCC++C++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Windows
Linux
Data schemeyesyesyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.yesnoyesnono
Secondary indexesyesyesyesyes infowith tagsNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesSQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functionsnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes (cache interceptors and events)noyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLSharding infoconsistent hashinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationyes infobased on PostgreSQLSource-replica replication with selectable replication factorMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonowith Hadoop integrationno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient modeno
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accountsyes infobased on PostgreSQLCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
GridGainJaguarDBPostGISQuasardbVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
GridGainJaguarDBPostGISQuasardbVertica infoOpenText™ Vertica™
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