DBMS > Couchbase vs. Faircom EDGE vs. PostgreSQL vs. RRDtool
System Properties Comparison Couchbase vs. Faircom EDGE vs. PostgreSQL vs. RRDtool
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| Name | Couchbase  Originally called Membase Xexclude from comparison | Faircom EDGE formerly c-treeEDGE Xexclude from comparison | PostgreSQL Xexclude from comparison | RRDtool Xexclude from comparison | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | A distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile database | FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. The data is stored in a circular buffer, thus the system storage footprint remains constant over time. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Document store | Key-value store Relational DBMS | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Time Series DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Key-value store originating from the former Membase product and supporting the Memcached protocol Spatial DBMS using the Geocouch extensionSearch engine Time Series DBMS Vector DBMS | Document store Graph DBMS with Apache AgeSpatial DBMS Vector DBMS with pgvector extension | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | www.couchbase.com | www.faircom.com/products/faircom-edge | www.postgresql.org | oss.oetiker.ch/rrdtool | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | docs.couchbase.com | docs.faircom.com/docs/en/UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html | www.postgresql.org/docs | oss.oetiker.ch/rrdtool/doc | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | Couchbase, Inc. | FairCom Corporation | PostgreSQL Global Development Group www.postgresql.org/developer | Tobias Oetiker | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2011 | 1979 | 1989 1989: Postgres, 1996: PostgreSQL | 1999 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023 | V3, October 2020 | 16.2, February 2024 | 1.8.0, 2022 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | Open Source Business Source License (BSL 1.1); Commercial licenses also available | commercial Restricted, free version available | Open Source BSD | Open Source GPL V2 and FLOSS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Implementation language | C, C++, Go and Erlang | ANSI C, C++ | C | C Implementations in Java (e.g. RRD4J) and C# available | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | Linux OS X Windows | Android Linux ARM, x86Raspbian Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | HP-UX Linux | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | schema-free | Flexible Schema (defined schema, partial schema, schema free) | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes | yes, ANSI Standard SQL Types | yes | Numeric data only | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | yes | yes specific XML-type available, but no XML query functionality. | no Exporting into and restoring from XML files possible | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | yes | yes | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | SQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use cases | yes ANSI SQL queries | yes standard with numerous extensions | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | CLI Client HTTP REST Kafka Connector Native language bindings for CRUD, Query, Search and Analytics APIs Spark Connector Spring Data | ADO.NET Direct SQL IoT Microservice layer JDBC MQTT (Message Queue Telemetry Transport) ODBC RESTful HTTP API | ADO.NET JDBC native C library ODBC streaming API for large objects | in-process shared library Pipes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | .Net C Go Java JavaScript Node.jsKotlin PHP Python Ruby Scala | C C# C++ Java JavaScript PHP Python VB.Net | .Net C C++ Delphi Java JDBCJavaScript (Node.js) Perl PHP Python Tcl | C with librrd library C# with a different implementation of RRDToolJava with a different implementation of RRDToolJavaScript (Node.js) with a different implementation of RRDToolLua Perl PHP with a wrapper libraryPython Ruby | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | Functions and timers in JavaScript and UDFs in Java, Python, SQL++ | yes .Net, JavaScript, C/C++ | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | yes via the TAP protocol | yes | yes | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | Automatic Sharding | File partitioning Customizable business rules for partitioning | partitioning by range, list and (since PostgreSQL 11) by hash | none | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication including cross data center replication Source-replica replication | yes Synchronous and asynchronous realtime replication based on transaction logs | Source-replica replication other methods possible by using 3rd party extensions | none | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | yes | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency Immediate Consistency selectable on a per-operation basis | Immediate Consistency Tunable Consistency | Immediate Consistency | none | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | no | yes when using SQL | yes | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | ACID | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes | yes across SQL and NoSQL | yes | yes by using the rrdcached daemon | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes | yes | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes Ephemeral buckets | yes | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control. | Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL. | fine grained access rights according to SQL-standard | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Couchbase Originally called Membase | Faircom EDGE formerly c-treeEDGE | PostgreSQL | RRDtool | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | Time Series DBMS are the database category with the fastest increase in popularity Time Series DBMS as a new trend? Monitoring PostgreSQL with Redgate Monitor With 67% ownership in Couchbase, Inc. (NASDAQ:BASE), institutional investors have a lot riding on the business Couchbase Announces New Features to Accelerate AI-Powered Adaptive Applications for Customers Couchbase's revenue grows 20% and its stock rises in extended trading Q4 Earnings Highs And Lows: Couchbase (NASDAQ:BASE) Vs The Rest Of The Data Storage Stocks Couchbase Server and Capella to gain vector support provided by Google News Data Technology Company FairCom Expands The Edge with 2 New Releases of its Edge Computing Products FairCom kicks off new era of database technology USA - English Brokers, Protocols, Platform Move Manufacturing Data Winners of the 2021 IoT Evolution Product of the Year Awards Announced Trend-Setting Products in Data and Information Management for 2023 provided by Google News Automatically Generate Types for Your PostgreSQL Database Baffle Delivers Enterprise-Grade Data Security for PostgreSQL on Amazon RDS and Amazon Aurora Introducing OCI Database with PostgreSQL: Completing Our Cloud Database Suite for Every Need Your MySQL 5.7 and PostgreSQL 11 databases will be automatically enrolled into Amazon RDS Extended Support ... Why PostgreSQL Is the Bedrock for the Future of Data provided by Google News SQLi vulnerability in Cacti could lead to RCE (CVE-2023-51448) Critical IP spoofing bug patched in Cacti Cacti: Using Graphs to Monitor Networks and Devices A plotting utility for text mode consoles and terminals @tenox77 How to install Cacti SNMP Monitor on Ubuntu provided by Google News | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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