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DBMS > EsgynDB vs. GeoSpock vs. IBM Db2 Event Store vs. TiDB

System Properties Comparison EsgynDB vs. GeoSpock vs. IBM Db2 Event Store vs. TiDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTiDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleDistributed Event Store optimized for Internet of Things use casesTiDB 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 DBMSEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score4.09
Rank#72  Overall
#38  Relational DBMS
Websitewww.esgyn.cngeospock.comwww.ibm.com/­products/­db2-event-storepingcap.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.pingcap.com/­tidb/­stable
DeveloperEsgynGeoSpockIBMPingCAP, Inc.
Initial release201520172016
Current release2.0, September 20192.08.2.0, July 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
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++, JavaJava, JavascriptC and C++Go, Rust
Server operating systemsLinuxhostedLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyestemporal, categoricalnoyes
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)yes infothrough the embedded Spark runtimeyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
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 proceduresJava Stored Proceduresnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersActive-active shard replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate 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 datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tablefine grained access rights according to SQL-standardFine grained access rights according to SQL-standard
More information provided by the system vendor
EsgynDBGeoSpockIBM Db2 Event StoreTiDB
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
EsgynDBGeoSpockIBM Db2 Event StoreTiDB
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