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DBMS > SAP HANA vs. Splice Machine vs. TiDB vs. Tigris vs. Tkrzw

System Properties Comparison SAP HANA vs. Splice Machine vs. TiDB vs. Tigris vs. Tkrzw

Editorial information provided by DB-Engines
NameSAP HANA  Xexclude from comparisonSplice Machine  Xexclude from comparisonTiDB  Xexclude from comparisonTigris  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionIn-memory, column based data store. Available as appliance or cloud serviceOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTiDB 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.A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Key-value store
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score4.25
Rank#74  Overall
#40  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.sap.com/­products/­hana.htmlsplicemachine.compingcap.comwww.tigrisdata.comdbmx.net/­tkrzw
Technical documentationhelp.sap.com/­hanasplicemachine.com/­how-it-worksdocs.pingcap.com/­tidb/­stablewww.tigrisdata.com/­docs
DeveloperSAPSplice MachinePingCAP, Inc.Tigris Data, Inc.Mikio Hirabayashi
Initial release20102014201620222020
Current release2.0 SPS07 (AprilĀ 4, 2023), April 20233.1, March 20218.1.0, May 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceno infoalso available as a cloud based 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 languageJavaGo, RustC++
Server operating systemsAppliance or cloud-serviceLinux
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
Linux
macOS
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyes
SQL infoSupport of SQLyesyesyesnono
APIs and other access methodsJDBC
ODBC
JDBC
Native Spark Datasource
ODBC
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresSQLScript, Ryes infoJavanonono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesyesShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning (by key range)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationyes infowith TiSpark Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infofull support since version 6.6no
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing specific database classes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardFine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
SAP HANASplice MachineTiDBTigrisTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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SAP HANASplice MachineTiDBTigrisTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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