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DBMS > atoti vs. Kinetica vs. QuestDB vs. searchxml vs. TerarkDB

System Properties Comparison atoti vs. Kinetica vs. QuestDB vs. searchxml vs. TerarkDB

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonKinetica  Xexclude from comparisonQuestDB  Xexclude from comparisonsearchxml  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Fully vectorized database across both GPUs and CPUsA high performance open source SQL database for time series dataDBMS for structured and unstructured content wrapped with an application serverA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSNative XML DBMS
Search engine
Key-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteatoti.iowww.kinetica.comquestdb.iowww.searchxml.net/­category/­productsgithub.com/­bytedance/­terarkdb
Technical documentationdocs.atoti.iodocs.kinetica.comquestdb.io/­docswww.searchxml.net/­support/­handoutsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperActiveViamKineticaQuestDB Technology Incinformationpartners gmbhByteDance, originally Terark
Initial release2012201420152016
Current release7.1, August 20211.0
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++Java (Zero-GC), C++, RustC++C++
Server operating systemsLinuxLinux
macOS
Windows
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statementsSQL with time-series extensionsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API
WebDAV
XQuery
XSLT
C++ API
Java API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infomost other programming languages supported via APIsC++
Java
Server-side scripts infoStored proceduresPythonuser defined functionsnoyes infoon the application serverno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal partitioning (by timestamps)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistencyyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesyes infoGPU vRAM or System RAMyes infothrough memory mapped filesnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelDomain, group and role-based access control at the document level and for application servicesno
More information provided by the system vendor
atotiKineticaQuestDBsearchxmlTerarkDB
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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More resources
atotiKineticaQuestDBsearchxmlTerarkDB
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