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DBMS > GBase vs. IBM Db2 Event Store vs. Prometheus vs. TiDB

System Properties Comparison GBase vs. IBM Db2 Event Store vs. Prometheus vs. TiDB

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPrometheus  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Distributed Event Store optimized for Internet of Things use casesOpen-source Time Series DBMS and monitoring systemTiDB 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 DBMSEvent Store
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score4.09
Rank#72  Overall
#38  Relational DBMS
Websitewww.gbase.cnwww.ibm.com/­products/­db2-event-storeprometheus.iopingcap.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeprometheus.io/­docsdocs.pingcap.com/­tidb/­stable
DeveloperGeneral Data Technology Co., Ltd.IBMPingCAP, Inc.
Initial release2004201720152016
Current releaseGBase 8a, GBase 8s, GBase 8c2.08.2.0, July 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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, PythonC and C++GoGo, Rust
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.yesnono infoImport of XML data possibleno
Secondary indexesyesnonoyes
SQL infoSupport of SQLStandard with numerous extensionsyes infothrough the embedded Spark runtimenoyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIGORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
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 functionsyesnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationyes infoby FederationUsing 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 ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnoFine grained access rights according to SQL-standard
More information provided by the system vendor
GBaseIBM Db2 Event StorePrometheusTiDB
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
GBaseIBM Db2 Event StorePrometheusTiDB
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