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DBMS > GreptimeDB vs. Kinetica vs. Splunk vs. TiDB

System Properties Comparison GreptimeDB vs. Kinetica vs. Splunk vs. TiDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonKinetica  Xexclude from comparisonSplunk  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyFully vectorized database across both GPUs and CPUsAnalytics Platform for Big DataTiDB 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 modelTime Series DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score4.25
Rank#74  Overall
#40  Relational DBMS
Websitegreptime.comwww.kinetica.comwww.splunk.compingcap.com
Technical documentationdocs.greptime.comdocs.kinetica.comdocs.splunk.com/­Documentation/­Splunkdocs.pingcap.com/­tidb/­stable
DeveloperGreptime Inc.KineticaSplunk Inc.PingCAP, Inc.
Initial release2022201220032016
Current release7.1, August 20218.1.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoLimited free edition and free developer edition availableOpen 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 languageRustC, C++Go, Rust
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeschema-free, schema definition possibleyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
RESTful HTTP API
HTTP RESTGORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
PHP
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 proceduresPythonuser defined functionsyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlSimple rights management via user accountsAccess rights for users and roles on table levelAccess rights for users and rolesFine grained access rights according to SQL-standard
More information provided by the system vendor
GreptimeDBKineticaSplunkTiDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
TiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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GreptimeDBKineticaSplunkTiDB
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