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DBMS > Apache Impala vs. Fauna vs. IBM Db2 Event Store vs. SiteWhere

System Properties Comparison Apache Impala vs. Fauna vs. IBM Db2 Event Store vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Distributed Event Store optimized for Internet of Things use casesM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Time Series 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
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteimpala.apache.orgfauna.comwww.ibm.com/­products/­db2-event-storegithub.com/­sitewhere/­sitewhere
Technical documentationimpala.apache.org/­impala-docs.htmldocs.fauna.comwww.ibm.com/­docs/­en/­db2-event-storesitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFauna, Inc.IBMSiteWhere
Initial release2013201420172010
Current release4.1.0, June 20222.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree developer edition availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC and C++Java
Server operating systemsLinuxhostedLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeyesschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationActive-active shard replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosIdentity management, authentication, and access controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Apache ImpalaFauna infopreviously named FaunaDBIBM Db2 Event StoreSiteWhere
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