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DBMS > CrateDB vs. Fujitsu Enterprise Postgres vs. GeoMesa vs. HyperSQL vs. Microsoft Azure Synapse Analytics

System Properties Comparison CrateDB vs. Fujitsu Enterprise Postgres vs. GeoMesa vs. HyperSQL vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGeoMesa  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionDistributed Database based on LuceneEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websitecratedb.comwww.postgresql.fastware.comwww.geomesa.orghsqldb.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationcratedb.com/­docswww.postgresql.fastware.com/­product-manualswww.geomesa.org/­documentation/­stable/­user/­index.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperCratePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCCRi and othersMicrosoft
Initial release2013201420012016
Current release5.8.1, August 2024Fujitsu Enterprise Postgres 14, January 20225.0.1, July 20242.7.2, June 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache License 2.0Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCScalaJavaC++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesyes
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.nononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesnoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC
Java
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions (Javascript)user defined functionsnoJava, SQLTransact SQL
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashdepending on storage layernoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replicationdepending on storage layernoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.nodepending on storage layeryes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes

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More resources
CrateDBFujitsu Enterprise PostgresGeoMesaHyperSQL infoalso known as HSQLDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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