DBMS > CouchDB vs. Elasticsearch vs. InfinityDB vs. PostgreSQL vs. Teradata
System Properties Comparison CouchDB vs. Elasticsearch vs. InfinityDB vs. PostgreSQL vs. Teradata
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Name | CouchDB stands for "Cluster Of Unreliable Commodity Hardware" Xexclude from comparison | Elasticsearch Xexclude from comparison | InfinityDB Xexclude from comparison | PostgreSQL Xexclude from comparison | Teradata Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones. | A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric | A Java embedded Key-Value Store which extends the Java Map interface | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | A hybrid cloud data analytics software platform (Teradata Vantage) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store | Search engine | Key-value store | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Spatial DBMS using the Geocouch extension | Document store Spatial DBMS Vector DBMS | Document store Graph DBMS with Apache Age Spatial DBMS Vector DBMS with pgvector extension | Document store Graph DBMS Spatial DBMS Time Series DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | couchdb.apache.org | www.elastic.co/elasticsearch | boilerbay.com | www.postgresql.org | www.teradata.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.couchdb.org/en/stable | www.elastic.co/guide/en/elasticsearch/reference/current/index.html | boilerbay.com/infinitydb/manual | www.postgresql.org/docs | docs.teradata.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Apache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer | Elastic | Boiler Bay Inc. | PostgreSQL Global Development Group www.postgresql.org/developer | Teradata | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2005 | 2010 | 2002 | 1989 1989: Postgres, 1996: PostgreSQL | 1984 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 3.3.3, December 2023 | 8.6, January 2023 | 4.0 | 16.3, May 2024 | Teradata Vantage 1.0 MU2, January 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache version 2 | Open Source Elastic License | commercial | Open Source BSD | commercial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | Erlang | Java | Java | C | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Android BSD Linux OS X Solaris Windows | All OS with a Java VM | All OS with a Java VM | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | hosted Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | schema-free Flexible type definitions. Once a type is defined, it is persistent | yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | no | yes | yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no | no | yes specific XML-type available, but no XML query functionality. | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes via views | yes All search fields are automatically indexed | no manual creation possible, using inversions based on multi-value capability | yes | yes Join-index to prejoin tables, aggregate index, sparse index, hash index | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | SQL-like query language | no | yes standard with numerous extensions | yes SQL 2016 + extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | RESTful HTTP/JSON API | Java API RESTful HTTP/JSON API | Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/docs/ItemSpaceDataStructures.htm) | ADO.NET JDBC native C library ODBC streaming API for large objects | .NET Client API HTTP REST JDBC JMS Adapter ODBC OLE DB | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C C# ColdFusion Erlang Haskell Java JavaScript Lisp Lua Objective-C OCaml Perl PHP PL/SQL Python Ruby Smalltalk | .Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby | Java | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | C C++ Cobol Java (JDBC-ODBC) Perl PL/1 Python R Ruby | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | View functions in JavaScript | yes | no | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | yes UDFs, stored procedures, table functions in parallel | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes | yes by using the 'percolation' feature | no | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding improved architecture with release 2.0 | Sharding | none | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding Hashing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication Source-replica replication | yes | none | Source-replica replication other methods possible by using 3rd party extensions | Multi-source replication Source-replica replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes | ES-Hadoop Connector | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency | Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all | Immediate Consistency READ-COMMITTED or SERIALIZED | Immediate Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | no manual creation possible, using inversions based on multi-value capability | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | no atomic operations within a single document possible | no | ACID Optimistic locking for transactions; no isolation for bulk loads | ACID | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes strategy: optimistic locking | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | Memcached and Redis integration | no | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users can be defined per database | no | fine grained access rights according to SQL-standard | fine grained access rights according to SQL-standard | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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CouchDB stands for "Cluster Of Unreliable Commodity Hardware" | Elasticsearch | InfinityDB | PostgreSQL | Teradata | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month | PostgreSQL is the DBMS of the Year 2017 Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | Teradata is the most popular data warehouse DBMS How to Automate A Blog Post App Deployment With GitHub Actions, Node.js, CouchDB, and Aptible How to install the CouchDB NoSQL database on Debian Server 11 IBM Cloudant pulls plan to fund new foundational layer for CouchDB CouchDB 3.0 ends admin party era • DEVCLASS Tracking Expenses with CouchDB and Angular — SitePoint provided by Google News Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB? 8 Powerful Alternatives to Elasticsearch Splunk vs Elasticsearch | A Comparison and How to Choose Introducing Elasticsearch Vector Database to Azure OpenAI Service On Your Data (Preview) Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently provided by Google News PostgreSQL Tutorial: Definition, Commands, & Features Raise the bar on AI-powered app development with Azure Database for PostgreSQL How To Schedule PostgreSQL Backups With GitHub Actions How to implement a better like, views, comment counters in PostgreSQL? Enterprise DB begins rolling AI features into PostgreSQL provided by Google News Vinva Investment Management Ltd Takes Position in Teradata Co. (NYSE:TDC) Scout Investments Inc. Lowers Stock Holdings in Teradata Co. (NYSE:TDC) Teradata to Present at Upcoming Investor Conference Teradata (TDC) Down 2.5% Since Last Earnings Report: Can It Rebound? What to Expect From Teradata provided by Google News |
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