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DBMS > Apache Impala vs. IRONdb vs. NuoDB vs. ToroDB vs. Vitess

System Properties Comparison Apache Impala vs. IRONdb vs. NuoDB vs. ToroDB vs. Vitess

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIRONdb  Xexclude from comparisonNuoDB  Xexclude from comparisonToroDB  Xexclude from comparisonVitess  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.ToroDB 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 simplicityNuoDB is a webscale distributed database that supports SQL and ACID transactionsA MongoDB-compatible JSON document store, built on top of PostgreSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteimpala.apache.orgwww.circonus.com/solutions/time-series-database/www.3ds.com/­nuodb-distributed-sql-databasegithub.com/­torodb/­servervitess.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.circonus.com/irondb/category/getting-starteddoc.nuodb.comvitess.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCirconus LLC.Dassault Systèmes infooriginally NuoDB, Inc.8KdataThe Linux Foundation, PlanetScale
Initial release20132017201320162013
Current release4.1.0, June 2022V0.10.20, January 201815.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infolimited edition freeOpen Source infoAGPL-V3Open Source infoApache Version 2.0, commercial licenses available
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++C++JavaGo
Server operating systemsLinuxLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java 7 VMDocker
Linux
macOS
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes infostring, integer, double, boolean, date, object_idyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)yesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
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++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in LuaJava, SQLyes infoproprietary syntax
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodedata is dynamically stored/cached on the nodes where it is read/writtenShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awareyes infoManaged transparently by NuoDBSource-replica replicationMulti-source replication
Source-replica replication
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 consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infotunable commit protocolnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes infotable locks or row locks depending on storage engine
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.nonoyes infoTemporary tableyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoStandard SQL roles/ privileges, Administrative UsersAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache ImpalaIRONdbNuoDBToroDBVitess
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