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DBMS > FeatureBase vs. Ignite vs. PouchDB vs. Teradata

System Properties Comparison FeatureBase vs. Ignite vs. PouchDB vs. Teradata

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonIgnite  Xexclude from comparisonPouchDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.JavaScript DBMS with an API inspired by CouchDBA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.featurebase.comignite.apache.orgpouchdb.comwww.teradata.com
Technical documentationdocs.featurebase.comapacheignite.readme.io/­docspouchdb.com/­guidesdocs.teradata.com
DeveloperMolecula and Pilosa Open Source ContributorsApache Software FoundationApache Software FoundationTeradata
Initial release2017201520121984
Current release2022, May 2022Apache Ignite 2.67.1.1, June 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, Java, .NetJavaScript
Server operating systemsLinux
macOS
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)hosted
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesnoyes
Secondary indexesnoyesyes infovia viewsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL queriesANSI-99 for query and DML statements, subset of DDLnoyes infoSQL 2016 + extensions
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJava
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC
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)View functions in JavaScriptyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
FeatureBaseIgnitePouchDBTeradata
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