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DBMS > atoti vs. eXtremeDB vs. HEAVY.AI vs. Lovefield vs. OpenQM

System Properties Comparison atoti vs. eXtremeDB vs. HEAVY.AI vs. Lovefield vs. OpenQM

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Natively in-memory DBMS with options for persistency, high-availability and clusteringA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelObject oriented DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websiteatoti.iowww.mcobject.comgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.atoti.iowww.mcobject.com/­docs/­extremedb.htmdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperActiveViamMcObjectHEAVY.AI, Inc.GoogleRocket Software, originally Martin Phillips
Initial release2001201620141993
Current release8.2, 20215.10, January 20222.1.12, February 20173.4-12
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license 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 and C++C++ and CUDAJavaScript
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyes
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.no infosupport of XML interfaces availablenonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infowith the option: eXtremeSQLyesSQL-like query language infovia JavaScript builder patternno
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresPythonyesnonoyes
Triggersyes infoby defining eventsnoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning / shardingSharding infoRound robinnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights can be defined down to the item level
More information provided by the system vendor
atotieXtremeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldOpenQM infoalso called QM
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
atotieXtremeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldOpenQM infoalso called QM
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