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DBMS > EXASOL vs. Hazelcast vs. JaguarDB vs. Netezza vs. Snowflake

System Properties Comparison EXASOL vs. Hazelcast vs. JaguarDB vs. Netezza vs. Snowflake

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A widely adopted in-memory data gridPerformant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSKey-value storeKey-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
Score2.89
Rank#89  Overall
#44  Relational DBMS
Score8.28
Rank#46  Overall
#5  Key-value stores
Score0.00
Rank#334  Overall
#59  Key-value stores
Score18.75
Rank#33  Overall
#20  Relational DBMS
Score2.56
Rank#101  Overall
#49  Relational DBMS
Websitewww.exasol.com/­en/­productshazelcast.comwww.datajaguar.comwww.ibm.com/­analytics/­netezzawww.snowflake.com
Technical documentationwww.exasol.com/­en/­community/­resourceshazelcast.org/­documentationwww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperExasolHazelcastDataJaguar, Inc.IBMSnowflake Computing Inc.
Initial release20002008201520002014
Current release3.12.2, August 20192.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languages
Server operating systemsAll OS with a Java VMLinuxLinux infoincluded in appliancehosted
Data schemeyesschema-freeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 strategynoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoEvent Listeners, Executor Servicesnoyesuser defined functions
Triggersyesyes infoEventsnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMaster-master replicationMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole-based access controlrights management via user accountsUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
EXASOLHazelcastJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
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SQL support, group by, order by, join
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
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Extremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
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IoT data, time series data, AI data. Any type of numerical data.
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
Free-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EXASOLHazelcastJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
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