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DBMS > EXASOL vs. GRAKN.AI vs. JaguarDB vs. Snowflake

System Properties Comparison EXASOL vs. GRAKN.AI vs. JaguarDB vs. Snowflake

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonJaguarDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Performant, highly scalable DBMS for AI and IoT applicationsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.83
Rank#87  Overall
#44  Relational DBMS
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score0.00
Rank#338  Overall
#60  Key-value stores
Score2.18
Rank#106  Overall
#51  Relational DBMS
Websitewww.exasol.com/­en/­productsgrakn.aiwww.datajaguar.comwww.snowflake.com
Technical documentationwww.exasol.com/­en/­community/­resourcesdev.grakn.ai/­docswww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperExasolGrakn Labs LtdDataJaguar, Inc.Snowflake Computing Inc.
Initial release2000201620152014
Current release1.6.1, December 20192.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPL V3.0commercial
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 languageJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Windows
Linuxhosted
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 SQLyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
console (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
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 nodesShardingSharding infoby using CassandraShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featurenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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-standardyes infoat REST API level; other APIs in progressrights management via user accountsUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
EXASOLGRAKN.AIJaguarDBSnowflake
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
SQL support, group by, order by, join
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Extremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
IoT 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 modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
Free-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
EXASOLGRAKN.AIJaguarDBSnowflake
Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

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

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

Exasol Teams up With Looker to Deliver Best In-Class Analytics Experience to Customers
6 November 2019, Business Wire

In-memory OLAP Database Market 2019 Analysis by Current Industry Status & Growth Opportunities by Top Key Players (Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio, Mcobject, MemSQL etc.) Target Audience and Forecast till 2025
5 December 2019, Techi Labs

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

provided by Google News

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Get Started With GRAKN.AI
10 March 2017, DZone News

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

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

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

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

Talend Achieves AWS Retail Competency Status
4 December 2019, Financialbuzz.com

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

provided by Google News

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