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DBMS > GBase vs. GeoSpock vs. Graph Engine vs. Hawkular Metrics vs. TiDB

System Properties Comparison GBase vs. GeoSpock vs. Graph Engine vs. Hawkular Metrics vs. TiDB

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTiDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial and temporal data processing engine for extreme data scaleA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#169  Overall
#76  Relational DBMS
Score0.59
Rank#235  Overall
#21  Graph DBMS
#33  Key-value stores
Score0.00
Rank#380  Overall
#40  Time Series DBMS
Score3.63
Rank#76  Overall
#40  Relational DBMS
Websitewww.gbase.cngeospock.comwww.graphengine.iowww.hawkular.orgpingcap.com
Technical documentationwww.graphengine.io/­docs/­manualwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.pingcap.com/­tidb/­stable
DeveloperGeneral Data Technology Co., Ltd.GeoSpockMicrosoftCommunity supported by Red HatPingCAP, Inc.
Initial release2004201020142016
Current releaseGBase 8a, GBase 8s, GBase 8c2.0, September 20198.2.0, July 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC, Java, PythonJava, Javascript.NET and CJavaGo, Rust
Server operating systemsLinuxhosted.NETLinux
OS X
Windows
Linux
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.yesnononono
Secondary indexesyestemporal, categoricalnoyes
SQL infoSupport of SQLStandard with numerous extensionsANSI SQL for query only (using Presto)nonoyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBCRESTful HTTP APIHTTP RESTGORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC#C#
C++
F#
Visual Basic
Go
Java
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoyesnono
Triggersyesnonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic shardinghorizontal partitioningSharding infobased on Cassandrahorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlyesAccess rights for users can be defined per tablenoFine grained access rights according to SQL-standard
More information provided by the system vendor
GBaseGeoSpockGraph Engine infoformer name: TrinityHawkular MetricsTiDB
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
GBaseGeoSpockGraph Engine infoformer name: TrinityHawkular MetricsTiDB
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