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

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

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonJaguarDB  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 applicationsCloud-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 DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.83
Rank#87  Overall
#44  Relational DBMS
Score0.00
Rank#338  Overall
#60  Key-value stores
Score2.18
Rank#106  Overall
#51  Relational DBMS
Websitewww.exasol.com/­en/­productswww.datajaguar.comwww.snowflake.com
Technical documentationwww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperExasolDataJaguar, Inc.Snowflake Computing Inc.Teradata
Initial release2000201520142005
Current release2.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 systemsLinuxhostedLinux
Data schemeyesyesyes 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 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.nonoyesyes infoin Aster File Store
Secondary indexesyesyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
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
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsR packages
Triggersyesnono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master 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 integrationnonoyes 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 integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
EXASOLJaguarDBSnowflakeTeradata 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.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
EXASOLJaguarDBSnowflakeTeradata Aster
Recent citations in the news

Your Data Strategy Holds the Secret to Customer Loyalty in Financial Services, Exasol Survey Finds
20 November 2019, Business Wire

Exasol: the chief data officer is the future-proofer
2 December 2019, ComputerWeekly.com

Global In-memory OLAP Database Market Strategics Assessment 2019 : Altibase, Microsoft, Oracle, Exasol, Kognitio, Mcobject
15 November 2019, The Chicago Sentinel

Global In-memory OLAP Database Market Regional Forecast 2019-2024: Altibase, IBM, Microsoft, Oracle
3 December 2019, Industry PressRelease

Global In-memory OLAP Database Market 2019 by Manufacturers, Countries, Type and Application, Forecast to 2025
1 December 2019, PR Industry News

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Frank Slootman is the biggest Snowflake of them all
11 November 2019, Blocks and Files

Why Snowflake Built a Data Warehouse in the Cloud
22 November 2019, CDOTrends

Snowflake Deepens its Relationship with AWS to Provide a More Seamless Customer Experience
5 December 2019, MarTech Series

Purple Uses Snowflake to Dramatically Increase Fulfillment and Production Rates
12 November 2019, Business Wire

Amazon soups up RedShift
4 December 2019, Blocks and Files

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 Vantage: A Complete Solution for Analytics by Ron Powell
28 February 2019, B-EYE-Network

New Teradata CEO pursues cloud-based architecture
22 January 2019, TechTarget

provided by Google News

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