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DBMS > Alibaba Cloud Table Store vs. Kinetica vs. OrigoDB vs. QuestDB vs. Sphinx

System Properties Comparison Alibaba Cloud Table Store vs. Kinetica vs. OrigoDB vs. QuestDB vs. Sphinx

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonKinetica  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessFully vectorized database across both GPUs and CPUsA fully ACID in-memory object graph databaseA high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­table-storewww.kinetica.comorigodb.comquestdb.iosphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.kinetica.comorigodb.com/­docsquestdb.io/­docssphinxsearch.com/­docs
DeveloperAlibabaKineticaRobert Friberg et alQuestDB Technology IncSphinx Technologies Inc.
Initial release201620122009 infounder the name LiveDB20142001
Current release7.1, August 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#Java (Zero-GC), C++, RustC++
Server operating systemshostedLinuxLinux
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesno
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.nonono infocan be achieved using .NETno
Secondary indexesnoyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL with time-series extensionsSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesJava
Python
C++
Java
JavaScript (Node.js)
Python
.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsyesnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replicationSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and roles on table levelRole based authorizationno
More information provided by the system vendor
Alibaba Cloud Table StoreKineticaOrigoDBQuestDBSphinx
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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