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DBMS > Hypertable vs. Riak TS vs. SQream DB vs. TiDB

System Properties Comparison Hypertable vs. Riak TS vs. SQream DB vs. TiDB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonRiak TS  Xexclude from comparisonSQream DB  Xexclude from comparisonTiDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVa GPU-based, columnar RDBMS for big data analytics workloadsTiDB 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 modelWide column storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score4.25
Rank#74  Overall
#40  Relational DBMS
Websitesqream.compingcap.com
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.sqream.comdocs.pingcap.com/­tidb/­stable
DeveloperHypertable Inc.Open Source, formerly Basho TechnologiesSQream TechnologiesPingCAP, Inc.
Initial release2009201520172016
Current release0.9.8.11, March 20163.0.0, September 20222022.1.6, December 20228.1.0, May 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen SourcecommercialOpen 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++ErlangC++, CUDA, Haskell, Java, ScalaGo, Rust
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
LinuxLinux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyes, ANSI Standard SQL Typesyes
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansrestrictednoyes
SQL infoSupport of SQLnoyes, limitedyesyes
APIs and other access methodsC++ API
Thrift
HTTP API
Native Erlang Interface
.Net
JDBC
ODBC
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
JavaScript (Node.js)
Python
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 proceduresnoErlanguser defined functions in Pythonno
Triggersnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioninghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelselectable replication factornoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storednoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.no
User concepts infoAccess controlnonoFine grained access rights according to SQL-standard
More information provided by the system vendor
HypertableRiak TSSQream DBTiDB
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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HypertableRiak TSSQream DBTiDB
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