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DBMS > HEAVY.AI vs. Ignite vs. JanusGraph vs. Lovefield

System Properties Comparison HEAVY.AI vs. Ignite vs. JanusGraph vs. Lovefield

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIgnite  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Embeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSKey-value store
Relational DBMS
Graph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
ignite.apache.orgjanusgraph.orggoogle.github.io/­lovefield
Technical documentationdocs.heavy.aiapacheignite.readme.io/­docsdocs.janusgraph.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperHEAVY.AI, Inc.Apache Software FoundationLinux Foundation; originally developed as Titan by AureliusGoogle
Initial release2016201520172014
Current release5.10, January 2022Apache Ignite 2.60.6.3, February 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC++, Java, .NetJavaJavaScript
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
JavaScript
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesno
Triggersnoyes (cache interceptors and events)yesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
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 persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsUser authentification and security via Rexster Graph Serverno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IgniteJanusGraph infosuccessor of TitanLovefield
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