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DBMS > Apache Impala vs. FoundationDB vs. Microsoft Azure Table Storage vs. SpaceTime

System Properties Comparison Apache Impala vs. FoundationDB vs. Microsoft Azure Table Storage vs. SpaceTime

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSpaceTime  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.A Wide Column Store for rapid development using massive semi-structured datasetsSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
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
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteimpala.apache.orggithub.com/­apple/­foundationdbazure.microsoft.com/­en-us/­services/­storage/­tableswww.mireo.com/­spacetime
Technical documentationimpala.apache.org/­impala-docs.htmlapple.github.io/­foundationdb
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFoundationDBMicrosoftMireo
Initial release2013201320122020
Current release4.1.0, June 20226.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
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 onlynoA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIRESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducein SQL-layer onlynono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Real-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingno
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights based on private key authentication or shared access signaturesyes

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More resources
Apache ImpalaFoundationDBMicrosoft Azure Table StorageSpaceTime
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