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DBMS > Apache Impala vs. Interbase vs. IRONdb vs. Microsoft Azure Table Storage vs. Rockset

System Properties Comparison Apache Impala vs. Interbase vs. IRONdb vs. Microsoft Azure Table Storage vs. Rockset

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInterbase  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRockset  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopLight-weight proven RDBMS infooriginally from BorlandA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA Wide Column Store for rapid development using massive semi-structured datasetsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSWide column storeDocument store
Secondary database modelsDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.07
Rank#180  Overall
#31  Document stores
Websiteimpala.apache.orgwww.embarcadero.com/­products/­interbasewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­storage/­tablesrockset.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.embarcadero.com/­products/­interbasedocs.circonus.com/irondb/category/getting-starteddocs.rockset.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEmbarcaderoCirconus LLC.MicrosoftRockset
Initial release20131984201720122019
Current release4.1.0, June 2022InterBase 2020, December 2019V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC and C++C++
Server operating systemsLinuxAndroid
iOS
Linux
OS X
Windows
Linuxhostedhosted
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesdynamic typing
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.nono infoexport as XML data possiblenonono infoingestion from XML files supported
Secondary indexesyesyesnonoall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (Circonus Analytics Query Language: CAQL)noRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP APIRESTful HTTP APIHTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoInterbase procedure and trigger languageyes, in Luanono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInterbase Change Viewsconfigurable replication factor, datacenter awareyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache ImpalaInterbaseIRONdbMicrosoft Azure Table StorageRockset
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