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

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

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Performant, 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 modelKey-value storeRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.68
Rank#52  Overall
#8  Key-value stores
Score2.89
Rank#89  Overall
#44  Relational DBMS
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.ehcache.orgwww.exasol.com/­en/­productswww.datajaguar.comwww.ibm.com/­analytics/­netezzawww.snowflake.com
Technical documentationwww.ehcache.org/­documentationwww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperTerracotta Inc, owned by Software AGExasolDataJaguar, Inc.IBMSnowflake Computing Inc.
Initial release20092000201520002014
Current release3.8.0, July 20192.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen 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 schemeschema-freeyesyesyesyes 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.nononoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes
APIs and other access methodsJCache.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesJavaJava
Lua
Python
R
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 proceduresnouser defined functionsnoyesuser defined functions
Triggersyes infoCache Event Listenersyesnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMaster-master replicationMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardrights 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
EhcacheEXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-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
EhcacheEXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
Recent citations in the news

Ehcache 3.0 Released with Revamped API and Off-Heap Storage
2 May 2016, InfoQ.com

Ehcache Joins Terracotta
18 August 2009, InfoQ.com

Memcached surpasses EhCache and Coherence in Java Job Demand
13 September 2011, InfoQ.com

Hazelcast open source in-memory data grid secures $21.5 million funding, expands platform to real-time streaming data
20 June 2019, ZDNet

Open source Java caching vendors merge
20 August 2009, InfoWorld

provided by Google News

EXASOL AG : Exasol AG moves forward with IPO plans
21 February 2020, marketscreener.com

Exasol Named a Leader in Dresner ADI Report for Third Consecutive Year
19 February 2020, Yahoo Finance

68% of Data Teams Unable to Extract the Insights Organizations Need for Better Decision Making
13 February 2020, Yahoo Finance

Businesses struggling to extract insight from sea of data
14 February 2020, ITProPortal

In-memory OLAP Database Market Detail Analysis focusing on Application, Types and Regional Outlook
20 February 2020, Technology Magazine

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RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

Oracle SQL vs ROW (Row of World): Counting on Emptiness
29 January 2020, Toolbox

A decade of analytics vendor mergers and acquisitions
15 February 2020, ZDNet

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

Google completes $2 billion acquisition of big-data analytics startup Looker
13 February 2020, TechStartups.com

provided by Google News

Snowflake Announces General Availability on Google Cloud
18 February 2020, Business Wire

Cloud Database Startup Snowflake Vaults to $12B Valuation, Partners with Salesforce
10 February 2020, Data Center Knowledge

$12.4 Billion Snowflake Could Go Public In July As Its Top Line Soars At 174%
13 February 2020, Forbes

Cloud data platform giant Snowflake raises $479M at $12.4B valuation, partners with Salesforce
7 February 2020, GeekWire

Snowflake combines its cloud-native data platform with Google Cloud's AI, ML and analytics capabilities
20 February 2020, Help Net Security

provided by Google News

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