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DBMS > GeoMesa vs. GridGain vs. HEAVY.AI vs. KairosDB vs. TypeDB

System Properties Comparison GeoMesa vs. GridGain vs. HEAVY.AI vs. KairosDB vs. TypeDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGridGain  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKairosDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.GridGain is an in-memory computing platform, built on Apache IgniteA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed Time Series DBMS based on Cassandra or H2TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelSpatial DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.geomesa.orgwww.gridgain.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­kairosdb/­kairosdbtypedb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.gridgain.com/­docs/­index.htmldocs.heavy.aikairosdb.github.iotypedb.com/­docs
DeveloperCCRi and othersGridGain Systems, Inc.HEAVY.AI, Inc.Vaticle
Initial release20142007201620132016
Current release4.0.5, February 2024GridGain 8.5.15.10, January 20221.2.2, November 20182.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava, C++, .NetC++ and CUDAJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
Graphite protocol
HTTP REST
Telnet API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Java
JavaScript infoNode.js
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nonono
Triggersnoyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infoRound robinSharding infobased on CassandraSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes (replicated cache)Multi-source replicationselectable replication factor infobased on CassandraMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)nonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyesnono
User concepts infoAccess controlyes infodepending on the DBMS used for storageSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardsimple password-based access controlyes infoat REST API level; other APIs in progress
More information provided by the system vendor
GeoMesaGridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KairosDBTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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GeoMesaGridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KairosDBTypeDB infoformerly named Grakn
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