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DBMS > EXASOL vs. JaguarDB vs. Realm vs. Snowflake

System Properties Comparison EXASOL vs. JaguarDB vs. Realm vs. Snowflake

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonRealm  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Performant, highly scalable DBMS for AI and IoT applicationsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.09
Rank#92  Overall
#45  Relational DBMS
Score0.00
Rank#337  Overall
#60  Key-value stores
Score8.59
Rank#46  Overall
#8  Document stores
Score2.73
Rank#101  Overall
#47  Relational DBMS
Websitewww.exasol.com/­en/­productswww.datajaguar.comrealm.iowww.snowflake.com
Technical documentationwww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.phprealm.io/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperExasolDataJaguar, Inc.Realm, acquired by MongoDB in May 2019Snowflake Computing Inc.
Initial release2000201520142014
Current release2.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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 systemsLinuxAndroid
Backend: server-less
iOS
Windows
hosted
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nononoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnono inforuns within the applications so server-side scripts are unnecessaryuser defined functions
Triggersyesnoyes infoChange Listenersno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardrights management via user accountsyesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
EXASOLJaguarDBRealmSnowflake
Specific characteristicsSQL support, group by, order by, join
» more
Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Mobile Consumer Apps First-Line Worker Apps
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more
Realm database is licensed under the Apache License v2.0.
» more

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

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3rd partiesGeneral SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
EXASOLJaguarDBRealmSnowflake
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