DBMS > Faircom EDGE vs. PostgreSQL vs. Quasardb vs. Rockset vs. Solr
System Properties Comparison Faircom EDGE vs. PostgreSQL vs. Quasardb vs. Rockset vs. Solr
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| Name | Faircom EDGE  formerly c-treeEDGE Xexclude from comparison | PostgreSQL Xexclude from comparison | Quasardb Xexclude from comparison | Rockset Xexclude from comparison | Solr Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | 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 | Distributed, high-performance timeseries database | A scalable, reliable search and analytics service in the cloud, built on RocksDB | A widely used distributed, scalable search engine based on Apache Lucene | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | 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 | Document store | Search engine | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Document store Graph DBMS with Apache AgeSpatial DBMS Vector DBMS with pgvector extension | Relational DBMS Search engine | Spatial DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | www.faircom.com/products/faircom-edge | www.postgresql.org | quasar.ai | rockset.com | solr.apache.org | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | docs.faircom.com/docs/en/UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html | www.postgresql.org/docs | doc.quasar.ai/master | docs.rockset.com | solr.apache.org/resources.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | FairCom Corporation | PostgreSQL Global Development Group www.postgresql.org/developer | quasardb | Rockset | Apache Software Foundation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 1979 | 1989 1989: Postgres, 1996: PostgreSQL | 2009 | 2019 | 2006 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | V3, October 2020 | 16.3, May 2024 | 3.14.1, January 2024 | 9.6.0, April 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | commercial Restricted, free version available | Open Source BSD | commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses | commercial | Open Source Apache Version 2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no | no | no | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Implementation language | ANSI C, C++ | C | C++ | C++ | Java | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | Android Linux ARM, x86Raspbian Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | BSD Linux OS X Windows | hosted | All OS with a Java VM runs as a servlet in servlet container (e.g. Tomcat, Jetty is included) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | Flexible Schema (defined schema, partial schema, schema free) | yes | schema-free | schema-free | yes Dynamic Fields enables on-the-fly addition of new fields | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes, ANSI Standard SQL Types | yes | yes integer and binary | dynamic typing | yes supports customizable data types and automatic typing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | no ingestion from XML files supported | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | yes | yes with tags | all fields are automatically indexed | yes All search fields are automatically indexed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | yes ANSI SQL queries | yes standard with numerous extensions | SQL-like query language | Read-only SQL queries, including JOINs | Solr Parallel SQL Interface | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | 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 | HTTP API | HTTP REST | Java API RESTful HTTP/JSON API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | C C# C++ Java JavaScript PHP Python VB.Net | .Net C C++ Delphi Java JDBCJavaScript (Node.js) Perl PHP Python Tcl | .Net C C# C++ Go Java JavaScript (Node.js) PHP Python R | Go Java JavaScript (Node.js) Python | .Net Erlang Java JavaScript any language that supports sockets and either XML or JSON Perl PHP Python Ruby Scala | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | yes .Net, JavaScript, C/C++ | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | no | no | Java plugins | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | yes | yes | no | no | yes User configurable commands triggered on index changes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | File partitioning Customizable business rules for partitioning | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding consistent hashing | Automatic sharding | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | yes Synchronous and asynchronous realtime replication based on transaction logs | Source-replica replication other methods possible by using 3rd party extensions | Source-replica replication with selectable replication factor | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | no | no | with Hadoop integration | no | spark-solr: github.com/lucidworks/spark-solr and streaming expressions to reduce | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency Tunable Consistency | Immediate Consistency | Immediate Consistency | Eventual Consistency | Eventual Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | yes when using SQL | yes | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | ACID | no | optimistic locking | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes across SQL and NoSQL | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes | yes | yes by using LevelDB | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | no | yes Transient mode | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts 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 | Cryptographically strong user authentication and audit trail | Access rights for users and organizations can be defined via Rockset console | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Faircom EDGE formerly c-treeEDGE | PostgreSQL | Quasardb | Rockset | Solr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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