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DBMS > HEAVY.AI vs. Lovefield vs. Teradata Aster vs. XTDB

System Properties Comparison HEAVY.AI vs. Lovefield vs. Teradata Aster vs. XTDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonTeradata Aster  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA 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 JavaScriptPlatform for big data analytics on multistructured data sources and typesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.33
Rank#150  Overall
#72  Relational DBMS
Score0.23
Rank#286  Overall
#134  Relational DBMS
Score0.00
Rank#363  Overall
#49  Document stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldgithub.com/­xtdb/­xtdb
xtdb.com
Technical documentationdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdxtdb.com/­docs
DeveloperHEAVY.AI, Inc.GoogleTeradataJuxt Ltd.
Initial release2016201420052019
Current release5.10, January 20222.1.12, February 20171.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercialOpen Source infoMIT License
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++ and CUDAJavaScriptClojure
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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.nonoyes infoin Aster File Storeno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC
C#
C++
Java
Python
R
Clojure
Java
Server-side scripts infoStored proceduresnonoR packagesno
TriggersnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBno
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldTeradata AsterXTDB infoformerly named Crux
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldTeradata AsterXTDB infoformerly named Crux
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