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DBMS > atoti vs. HEAVY.AI vs. Warp 10

System Properties Comparison atoti vs. HEAVY.AI vs. Warp 10

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#254  Overall
#12  Object oriented DBMS
Score1.52
Rank#147  Overall
#67  Relational DBMS
Score0.07
Rank#344  Overall
#31  Time Series DBMS
Websiteatoti.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.warp10.io
Technical documentationdocs.atoti.iodocs.heavy.aiwww.warp10.io/­content/­02_Getting_started
DeveloperActiveViamHEAVY.AI, Inc.SenX
Initial release20162015
Current release5.10, January 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAJava
Server operating systemsLinuxLinux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresPythonnoyes infoWarpScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoRound robinSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
atotiHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Warp 10
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