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DBMS > EXASOL vs. FileMaker vs. Heroic vs. Spark SQL

System Properties Comparison EXASOL vs. FileMaker vs. Heroic vs. Spark SQL

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonHeroic  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.exasol.comwww.claris.com/­filemakergithub.com/­spotify/­heroicspark.apache.org/­sql
Technical documentationwww.exasol.com/­resourceswww.claris.com/­resources/­documentationspotify.github.io/­heroicspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperExasolClaris infoa subsidiary of AppleSpotifyApache Software Foundation
Initial release2000198320142014
Current release19.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyes infovia Elasticsearchno
SQL infoSupport of SQLyesyes infovia pluginsnoSQL-like DML and DDL statements
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
PHPJava
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicesno

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More resources
EXASOLFileMakerHeroicSpark SQL
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