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DBMS > HEAVY.AI vs. Lovefield vs. RavenDB vs. TigerGraph

System Properties Comparison HEAVY.AI vs. Lovefield vs. RavenDB vs. TigerGraph

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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 comparisonRavenDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
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 JavaScriptOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSDocument storeGraph DBMS
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldravendb.netwww.tigergraph.com
Technical documentationdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdravendb.net/­docsdocs.tigergraph.com
DeveloperHEAVY.AI, Inc.GoogleHibernating Rhinos
Initial release2016201420102017
Current release5.10, January 20222.1.12, February 20175.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availablecommercial
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 CUDAJavaScriptC#C++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternSQL-like query language (RQL)SQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonoyesyes
TriggersnoUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
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-standardnoAuthorization levels configured per client per databaseRole-based access control

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldRavenDBTigerGraph
Recent citations in the news

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

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

HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
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Get To Know: Oren Eini, CEO, RavenDB
22 October 2019, Intelligent CIO

RavenDB Adds Graph Queries
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TigerGraph Unveils CoPilot, Version 4.0, and New CEO
30 April 2024, Datanami

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30 April 2024, TechTarget

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30 April 2024, InfoWorld

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26 June 2024, insideBIGDATA

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