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DBMS > Apache Impala vs. ITTIA vs. NuoDB vs. TimescaleDB vs. ToroDB

System Properties Comparison Apache Impala vs. ITTIA vs. NuoDB vs. TimescaleDB vs. ToroDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonITTIA  Xexclude from comparisonNuoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopEdge Time Series DBMS with Real-Time Stream ProcessingNuoDB is a webscale distributed database that supports SQL and ACID transactionsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteimpala.apache.orgwww.ittia.comwww.3ds.com/­nuodb-distributed-sql-databasewww.timescale.comgithub.com/­torodb/­server
Technical documentationimpala.apache.org/­impala-docs.htmldoc.nuodb.comdocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaITTIA L.L.C.Dassault Systèmes infooriginally NuoDB, Inc.Timescale8Kdata
Initial release20132007201320172016
Current release4.1.0, June 20228.72.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoAGPL-V3
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++CJava
Server operating systemsLinuxLinux
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
All OS with a Java 7 VM
Data schemeyesFixed schemayesyesschema-free
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes infostring, integer, double, boolean, date, object_id
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.nononoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesJava, SQLuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoManaged transparently by NuoDBSource-replica replication with hot standby and reads on replicas infoSource-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 ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infotunable commit protocolACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoMVCCyesyes
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.noyesyes infoTemporary tableno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosDatabase file passwordsStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Apache ImpalaITTIANuoDBTimescaleDBToroDB
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