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DBMS > Apache Impala vs. EventStoreDB vs. FileMaker vs. LeanXcale

System Properties Comparison Apache Impala vs. EventStoreDB vs. FileMaker vs. LeanXcale

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFileMaker  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopIndustrial-strength, open-source database solution built from the ground up for event sourcing.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSEvent StoreRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websiteimpala.apache.orgwww.eventstore.comwww.claris.com/­filemakerwww.leanxcale.com
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.eventstore.comwww.claris.com/­resources/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEvent Store LimitedClaris infoa subsidiary of AppleLeanXcale
Initial release2013201219832015
Current release4.1.0, June 202221.2, February 202119.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinuxLinux
Windows
iOS infoclient part only
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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 format
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infovia pluginsyes infothrough Apache Derby
APIs and other access methodsJDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesAll languages supporting JDBC/ODBCPHPC
Java
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accounts and connection to external directory services

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More resources
Apache ImpalaEventStoreDBFileMakerLeanXcale
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