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DBMS > EXASOL vs. Spark SQL vs. Weaviate

System Properties Comparison EXASOL vs. Spark SQL vs. Weaviate

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonSpark SQL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spark SQL is a component on top of 'Spark Core' for structured data processingA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.53
Rank#93  Overall
#47  Relational DBMS
Score19.47
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#311  Overall
#16  Search engines
Websitewww.exasol.comspark.apache.org/­sqlgithub.com/­semi-technologies/­weaviate
www.semi.technology/­solutions/­weaviate
Technical documentationwww.exasol.com/­en/­resourcesspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.semi.technology/­documentation/­weaviate/­current
DeveloperExasolApache Software FoundationSeMI Technologies B.V.
Initial release200020142017
Current release3.0.1, October 20200.22.14, July 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaGo
Server operating systemsLinux
OS X
Windows
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nonono
Secondary indexesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like DML and DDL statementsGraphQL is used as query language
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoOpenID Connect Discovery
More information provided by the system vendor
EXASOLSpark SQLWeaviate
News

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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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
EXASOLSpark SQLWeaviate
Recent citations in the news

Exasol and Nuqleous Partner to Bring Ultimate Data Analytics to Retail and Consumer Product Companies
21 October 2020, Yahoo Finance

Exasol and Pyramid Analytics Join Forces to Put the End-User Experience Front and Center
1 October 2020, Business Wire

Exasol dominates its peer groups in BARC Data Management Survey 2020
24 September 2020, Business Wire

Stale Data Has No Smell — But Still Leaves A Bad Taste
1 October 2020, Forbes

Exasol Research Finds 58% of Organizations Make Decisions Based on Outdated Data
29 September 2020, DevOps.com

provided by Google News

The 16 Best Apache Spark Books on Our Reading List
1 October 2020, Solutions Review

5 Key Attributes To Help Data Scientists Find The Right Company
6 October 2020, Analytics India Magazine

Jio, IBM, Microsoft, and other companies hiring data scientists right now
14 October 2020, Business Insider India

Spark 3.0 Brings Big SQL Speed-Up, Better Python Hooks
25 June 2020, Datanami

The 11 Best Hadoop Books Based on Real User Reviews
2 October 2020, Solutions Review

provided by Google News

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