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DBMS > H2GIS vs. Hazelcast vs. Immudb vs. Spark SQL

System Properties Comparison H2GIS vs. Hazelcast vs. Immudb vs. Spark SQL

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonHazelcast  Xexclude from comparisonImmudb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionSpatial extension of H2A widely adopted in-memory data gridAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSpatial DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsRelational DBMSDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.31
Rank#295  Overall
#42  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.h2gis.orghazelcast.comgithub.com/­codenotary/­immudb
immudb.io
spark.apache.org/­sql
Technical documentationwww.h2gis.org/­docs/­homehazelcast.org/­imdg/­docsdocs.immudb.iospark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCNRSHazelcastCodenotaryApache Software Foundation
Initial release2013200820202014
Current release5.3.6, November 20231.2.3, April 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoScala
Server operating systemsAll OS with a Java VMBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query languageSQL-like syntaxSQL-like DML and DDL statements
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesJava.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infobased on H2yes infoEvent Listeners, Executor Servicesnono
Triggersyesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2yes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesnono
User concepts infoAccess controlyes infobased on H2Role-based access controlno

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More resources
H2GISHazelcastImmudbSpark SQL
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