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DBMS > Apache Impala vs. IRONdb vs. mSQL vs. OrigoDB vs. Teradata

System Properties Comparison Apache Impala vs. IRONdb vs. mSQL vs. OrigoDB vs. Teradata

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIRONdb  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonTeradata  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 simplicitymSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websiteimpala.apache.orgwww.circonus.com/solutions/time-series-database/hughestech.com.au/­products/­msqlorigodb.comwww.teradata.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.circonus.com/irondb/category/getting-startedorigodb.com/­docsdocs.teradata.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCirconus LLC.Hughes TechnologiesRobert Friberg et alTeradata
Initial release2013201719942009 infounder the name LiveDB1984
Current release4.1.0, June 2022V0.10.20, January 20184.4, October 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree licenses can be providedOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++CC#
Server operating systemsLinuxLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
hosted
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETyes
Secondary indexesyesnoyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
HTTP APIJDBC
ODBC
.NET Client API
HTTP API
LINQ
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in Luanoyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awarenoneSource-replica replicationMulti-source replication
Source-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 nodesnoneImmediate Consistency
Foreign keys infoReferential integritynononodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnonoRole based authorizationfine grained access rights according to SQL-standard

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More resources
Apache ImpalaIRONdbmSQL infoMini SQLOrigoDBTeradata
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