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DBMS > EXASOL vs. JaguarDB vs. Netezza vs. Snowflake vs. Teradata Aster

System Properties Comparison EXASOL vs. JaguarDB vs. Netezza vs. Snowflake vs. Teradata Aster

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHigh-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 dataPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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.exasol.com/­en/­productswww.datajaguar.comwww.ibm.com/­analytics/­netezzawww.snowflake.com
Technical documentationwww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperExasolDataJaguar, Inc.IBMSnowflake Computing Inc.Teradata
Initial release20002015200020142005
Current release2.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languages
Server operating systemsLinuxLinux infoincluded in appliancehostedLinux
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nonoyesyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJava
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
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoyesuser defined functionsR packages
Triggersyesnonono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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.yesnonono
User concepts infoAccess controlAccess 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 authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
EXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflakeTeradata Aster
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
EXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflakeTeradata Aster
Recent citations in the 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

Strategic up to date study on In-memory OLAP Database Market predicted to grow high by profiling Companies- IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox
26 February 2020, News Times

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

provided by Google News

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

SADA, Google Cloud Services: $500M Revenue Push?
25 February 2020, ChannelE2E

Google Cloud partnership expands as SADA seals $500M pact
28 February 2020, TechTarget

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

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

Infor partners with Snowflake -
27 February 2020, Enterprise Times

Infor and Snowflake Partner to Build Automated Data Warehouses with Birst Full-Stack Analytics & BI Platform
25 February 2020, MarTech Series

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

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

provided by Google News

Teradata ports Aster analytics to Hadoop
30 August 2016, ZDNet

Teradata Aster Analytics Going Places: On Hadoop and AWS
24 August 2016, PR Newswire

An overview of the Teradata Aster Analytics platform
31 May 2017, TechTarget

Teradata Aster gets graph database, HDFS-compatible file store
8 October 2013, ZDNet

Teradata Talks Apps, But Don't Think AppExchange
13 February 2015, InformationWeek

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