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DBMS > Graph Engine vs. Hazelcast vs. HEAVY.AI vs. KairosDB

System Properties Comparison Graph Engine vs. Hazelcast vs. HEAVY.AI vs. KairosDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHazelcast  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data gridA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed Time Series DBMS based on Cassandra or H2
Primary database modelGraph DBMS
Key-value store
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.21
Rank#180  Overall
#16  Graph DBMS
#31  Key-value stores
Score10.02
Rank#48  Overall
#5  Key-value stores
Score2.00
Rank#136  Overall
#67  Relational DBMS
Score0.85
Rank#213  Overall
#17  Time Series DBMS
Websitewww.graphengine.iohazelcast.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­kairosdb/­kairosdb
Technical documentationwww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docsdocs.heavy.aikairosdb.github.io
DeveloperMicrosoftHazelcastHEAVY.AI, Inc.
Initial release2010200820162013
Current release5.1, March 20225.10, January 20221.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
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 language.NET and CJavaC++ and CUDAJava
Server operating systems.NETAll OS with a Java VMLinuxLinux
OS X
Windows
Data schemeyesschema-freeyesschema-free
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesnono
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesnono
Triggersnoyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoRound robinSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardsimple password-based access control
More information provided by the system vendor
Graph Engine infoformer name: TrinityHazelcastHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KairosDB
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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Graph Engine infoformer name: TrinityHazelcastHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KairosDB
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