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DBMS > Hazelcast vs. Kinetica vs. OmniSci

System Properties Comparison Hazelcast vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionA widely adopted in-memory data gridGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.35
Rank#44  Overall
#5  Key-value stores
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websitehazelcast.comwww.kinetica.comwww.omnisci.com
Technical documentationhazelcast.org/­documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperHazelcastKineticaMapD Technologies, Inc.
Initial release200820122016
Current release3.12, April 20196.0V4
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++ and CUDA
Server operating systemsAll OS with a Java VMLinuxLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes infothe object must implement a serialization strategynono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesuser defined functionsno
Triggersyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMaster-slave replicationMaster-master replication
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 Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlRole-based access controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
HazelcastKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

Hazelcast Simplifies Streaming for Extremely Fast Event Processing in IoT, Edge and Cloud Environments
16 April 2019, DevOps.com

Hazelcast Debuts Accelerated Event Processing for IoT, Edge and Cloud
22 April 2019, RTInsights

Hazelcast Declares the General Availability of Hazelcast Jet, a Stream Processing Engine for Data Intelligence
17 April 2019, Toolbox

Hazelcast Release Managed Cloud Offering
10 April 2019, InfoQ.com

It's simple addition: Hazelcast IMDG + Kubernetes + Docker = Hazelcast Cloud
28 March 2019, JAXenter

provided by Google News

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
22 April 2019, Market Reports

Field Report: GPU Technology Conference 2019 #GTC19
4 April 2019, insideBIGDATA

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Factory Mutual Insurance Company Trimmed Nvidia (NVDA) Position By $3.10 Million; Bluefin Trading Has Lowered Microsoft (MSFT) Position
24 April 2019, CryptoCoinsTribune

Kinetica Could Boost Nvidia In $70B Big Data Market
12 October 2018, Forbes

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

OmniSci Hires Laura Craig as Vice President of Sales, Americas
23 April 2019, PRNewswire

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
22 April 2019, Market Reports

OmniSci, formerly MapD, gets $55 million in series C funding
4 October 2018, Packt Hub

Graphics Processing Unit Database Market Growing Demand and Trends 2019 to 2028
11 April 2019, The Smart CMS

provided by Google News

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