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DBMS > HEAVY.AI vs. Machbase Neo vs. SingleStore vs. SpaceTime vs. Yaacomo

System Properties Comparison HEAVY.AI vs. Machbase Neo vs. SingleStore vs. SpaceTime vs. Yaacomo

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpaceTime  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareTimeSeries DBMS for AIoT and BigDataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeSpaceTime is a spatio-temporal DBMS with a focus on performance.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
machbase.comwww.singlestore.comwww.mireo.com/­spacetimeyaacomo.com
Technical documentationdocs.heavy.aimachbase.com/­dbmsdocs.singlestore.com
DeveloperHEAVY.AI, Inc.MachbaseSingleStore Inc.MireoQ2WEB GmbH
Initial release20162013201320202009
Current release5.10, January 2022V8.0, August 20238.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial infofree test version availablecommercial infofree developer edition availablecommercialcommercial
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 languageC++ and CUDACC++, GoC++
Server operating systemsLinuxLinux
macOS
Windows
Linux info64 bit version requiredLinuxAndroid
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyes infobut no triggers and foreign keysA subset of ANSI SQL is implementedyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingSharding infohash partitioningFixed-grid hypercubeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorSource-replica replication infostores two copies of each physical data partition on two separate nodesReal-time block device replication (DRBD)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesnoyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tableyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlFine grained access control via users, groups and rolesyesfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Machbase Neo infoFormer name was InfinifluxSingleStore infoformer name was MemSQLSpaceTimeYaacomo
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Recent citations in the news

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15 August 2024, Center for Data Innovation

HEAVY.AI Accelerates Big Data Analytics with Vultr's High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, businesswire.com

provided by Google News

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19 September 2024, businesswire.com

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24 January 2024, VentureBeat

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16 September 2024, AWS Blog

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18 April 2024, Madrona Venture Group

SingleStore: We do vectors and you don’t need knowledge graphs
22 July 2024, Blocks & Files

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