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DBMS > BigObject vs. Brytlyt vs. Kinetica vs. Speedb

System Properties Comparison BigObject vs. Brytlyt vs. Kinetica vs. Speedb

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBrytlyt  Xexclude from comparisonKinetica  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFully vectorized database across both GPUs and CPUsAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Websitebigobject.iobrytlyt.iowww.kinetica.comwww.speedb.io
Technical documentationdocs.bigobject.iodocs.brytlyt.iodocs.kinetica.com
DeveloperBigObject, Inc.BrytlytKineticaSpeedb
Initial release2015201620122020
Current release5.0, August 20237.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoApache Version 2.0; commercial license available
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.
Implementation languageC, C++ and CUDAC, C++C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
LinuxLinux
Windows
Data schemeyesyesyesschema-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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like DML and DDL statementsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresLuauser defined functions infoin PL/pgSQLuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and roles on table levelno
More information provided by the system vendor
BigObjectBrytlytKineticaSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
BigObjectBrytlytKineticaSpeedb
Recent citations in the news

Brytlyt releases version 5.0, introducing a more intuitive, intelligent and flexible analytics platform
1 August 2023, PR Newswire

London data analytics startup Brytlyt raises €4.43M from Amsterdam-based Finch Capital, others
22 December 2021, Silicon Canals

London’s Brytlyt raises €4.4 million for its data analytics and visualisation technology
22 December 2021, EU-Startups

Bringing GPUs To Bear On Bog Standard Relational Databases
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22 December 2021, BusinessCloud

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Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

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