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DBMS > Ignite vs. Immudb vs. IRONdb vs. Teradata

System Properties Comparison Ignite vs. Immudb vs. IRONdb vs. Teradata

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonImmudb  Xexclude from comparisonIRONdb  Xexclude from comparisonTeradata  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value store
Relational DBMS
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteignite.apache.orggithub.com/­codenotary/­immudb
immudb.io
www.circonus.com/solutions/time-series-database/www.teradata.com
Technical documentationapacheignite.readme.io/­docsdocs.immudb.iodocs.circonus.com/irondb/category/getting-starteddocs.teradata.com
DeveloperApache Software FoundationCodenotaryCirconus LLC.Teradata
Initial release2015202020171984
Current releaseApache Ignite 2.61.2.3, April 2022V0.10.20, January 2018Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetGoC and C++
Server operating systemsLinux
OS X
Solaris
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
Linuxhosted
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes
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.yesnonoyes
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like syntaxSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoSQL 2016 + extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC protocol
PostgreSQL wire protocol
HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes, in Luayes infoUDFs, stored procedures, table functions in parallel
Triggersyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)configurable replication factor, datacenter awareMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
IgniteImmudbIRONdbTeradata
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