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DBMS > EXASOL vs. JaguarDB vs. ObjectBox vs. Snowflake

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

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonObjectBox  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 applicationsExtremely fast embedded database for small devices, IoT and MobileCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSKey-value storeObject oriented 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
Score0.44
Rank#215  Overall
#12  Object oriented DBMS
Score2.18
Rank#106  Overall
#51  Relational DBMS
Websitewww.exasol.com/­en/­productswww.datajaguar.comobjectbox.iowww.snowflake.com
Technical documentationwww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.phpdocs.objectbox.iodocs.snowflake.net/­manuals/­index.html
DeveloperExasolDataJaguar, Inc.ObjectBox LimitedSnowflake Computing Inc.
Initial release2000201520172014
Current release2.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoApache License 2.0commercial
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 languagesC and C++
Server operating systemsLinuxAndroid
iOS
Linux
macOS
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
Proprietary native APICLI Client
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
Go
Java
JavaScript infoplanned (as of Jan 2019)
Python infoplanned (as of Jan 2019)
Swift
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnonouser defined functions
Triggersyesnonono 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 integrityyesnoyesyes
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 accountsyesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
EXASOLJaguarDBObjectBoxSnowflake
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
News

ObjectBox EdgeX v1.1 – database with ARM32 support
27 November 2019

Sync.Drone: a drone project based on ObjectBox
20 November 2019

ObjectBox Java 2.4
15 October 2019

The best IoT Databases for the Edge – an overview and compact guide
10 October 2019

ObjectBox Swift 1.0 Released
24 September 2019

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.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EXASOLJaguarDBObjectBoxSnowflake
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 Inventory Management 2019 – Altibase, IBM, Microsoft, Oracle, SAP SE
9 December 2019, Financial Sector

In-memory OLAP Database Market Latest Trends, Growth Rate and Application Scope with Leading Companies by 2025- Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol
6 December 2019, Techi Labs

provided by Google News

Object-Oriented Databases Software market Will Reflect Significant Growth Prospects during 2019-2026 focuses on major key players Google, Microsoft, Inter Systems, DBase, Cyebiz, Velocity DB.
10 December 2019, Galus Australis

Object-Oriented Databases Software Market Forecast Report by Market Insights, Volume, Opportunities, Type, Product Analysis, and Application
11 December 2019, Tech Estate Today

Global Object-Oriented Databases Software Market Top Key Participants are Google, Microsoft, InterSystems, DBase, Cyebiz, VelocityDB, Paradigma Software, Actian, Viravis
11 December 2019, Commerce Gazette

ObjectBox has built a distributed database for the IoT
17 September 2019, Stacey on IoT

Latest forecast on Object-Oriented Databases Software market Will Reflect Significant Growth Prospects during 2019-2026 | Google, Microsoft, Inter Systems, DBase, Cyebiz, VelocityDB
11 November 2019, Market Expert

provided by Google News

Optimove Uses Snowflake to Provide Brands with Direct Access to All Their Unified Customer Data
11 December 2019, MarTech Series

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

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

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

Snowflake furthers AWS integration with AI/ML certification
9 December 2019, IT Brief Australia

provided by Google News

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