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DBMS > Apache Impala vs. FoundationDB vs. Oracle Coherence vs. Spark SQL

System Properties Comparison Apache Impala vs. FoundationDB vs. Oracle Coherence vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFoundationDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSpark SQL  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAnalytic DBMS for HadoopOrdered key-value store. Core features are complimented by layers.Oracles in-memory data grid solutionSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeRelational 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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteimpala.apache.orggithub.com/­apple/­foundationdbwww.oracle.com/­java/­coherencespark.apache.org/­sql
Technical documentationimpala.apache.org/­impala-docs.htmlapple.github.io/­foundationdbdocs.oracle.com/­en/­middleware/­standalone/­coherencespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFoundationDBOracleApache Software Foundation
Initial release2013201320072014
Current release4.1.0, June 20226.2.28, November 202014.1, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen 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 languageC++C++JavaScala
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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 indexesyesnonono
SQL infoSupport of SQLSQL-like DML and DDL statementssupported in specific SQL layer onlynoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JCache
JPA
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C++
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducein SQL-layer onlynono
Triggersnonoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyLinearizable consistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoauthentification to access the cache via certificates or http basic authenticationno

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More resources
Apache ImpalaFoundationDBOracle CoherenceSpark SQL
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