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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRockset  Xexclude from comparisonSequoiadb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopA 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 RocksDBNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSTime Series DBMSWide column storeDocument storeDocument store
Relational DBMS
Secondary database modelsDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.82
Rank#212  Overall
#36  Document stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websiteimpala.apache.orgwww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­storage/­tablesrockset.comwww.sequoiadb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.circonus.com/irondb/category/getting-starteddocs.rockset.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCirconus LLC.MicrosoftRocksetSequoiadb Ltd.
Initial release20132017201220192013
Current release4.1.0, June 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++C++
Server operating systemsLinuxLinuxhostedhostedLinux
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesdynamic typingyes infooid, date, timestamp, binary, regex
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 infoingestion from XML files supportedno
Secondary indexesyesnonoall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)noRead-only SQL queries, including JOINsSQL-like query language
APIs and other access methodsJDBC
ODBC
HTTP APIRESTful HTTP APIHTTP RESTproprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBC.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
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in LuanonoJavaScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud serviceAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awareyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesSource-replica replication
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 consistency per node, eventual consistency across nodesImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononono
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 signaturesAccess rights for users and organizations can be defined via Rockset consolesimple password-based access control

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More resources
Apache ImpalaIRONdbMicrosoft Azure Table StorageRocksetSequoiadb
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