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DBMS > Axibase vs. Fujitsu Enterprise Postgres vs. HugeGraph vs. TimescaleDB

System Properties Comparison Axibase vs. Fujitsu Enterprise Postgres vs. HugeGraph vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHugeGraph  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A fast-speed and highly-scalable Graph DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.postgresql.fastware.comgithub.com/­hugegraph
hugegraph.apache.org
www.timescale.com
Technical documentationwww.postgresql.fastware.com/­product-manualshugegraph.apache.org/­docsdocs.timescale.com
DeveloperAxibase CorporationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyBaiduTimescale
Initial release201320182017
Current release15585Fujitsu Enterprise Postgres 14, January 20220.92.15.0, May 2024
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen 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 languageJavaCJavaC
Server operating systemsLinuxLinux
Windows
Linux
macOS
Unix
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesnumerics, 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.nonoyes
Secondary indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languageyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsasynchronous Gremlin script jobsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashyes infodepending on used storage backend, e.g. Cassandra and HBaseyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
AxibaseFujitsu Enterprise PostgresHugeGraphTimescaleDB
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