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DBMS > GeoSpock vs. HugeGraph vs. OpenMLDB vs. Quasardb vs. TimescaleDB

System Properties Comparison GeoSpock vs. HugeGraph vs. OpenMLDB vs. Quasardb vs. TimescaleDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHugeGraph  Xexclude from comparisonOpenMLDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA fast-speed and highly-scalable Graph DBMSAn open-source machine learning database that provides a feature platform for training and inferenceDistributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSGraph DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitegeospock.comgithub.com/­hugegraph
hugegraph.apache.org
openmldb.aiquasar.aiwww.timescale.com
Technical documentationhugegraph.apache.org/­docsopenmldb.ai/­docs/­zh/­maindoc.quasar.ai/­masterdocs.timescale.com
DeveloperGeoSpockBaidu4 Paradigm Inc.quasardbTimescale
Initial release2018202020092017
Current release2.0, September 20190.92024-2 February 20243.14.1, January 20242.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC++, Java, ScalaC++C
Server operating systemshostedLinux
macOS
Unix
LinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binarynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonononoyes
Secondary indexestemporal, categoricalyes infoalso supports composite index and range indexyesyes infowith tagsyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyesSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
SQLAlchemy
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGroovy
Java
Python
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioningSharding infoconsistent hashingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationSource-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
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.noyesyesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users can be defined per tableUsers, roles and permissionsfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
GeoSpockHugeGraphOpenMLDBQuasardbTimescaleDB
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How GeoSpock is supercharging geospatial analytics
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