DBMS > Apache IoTDB vs. Heroic vs. PostgreSQL
System Properties Comparison Apache IoTDB vs. Heroic vs. PostgreSQL
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|Editorial information provided by DB-Engines|
|Name||Apache IoTDB Xexclude from comparison||Heroic Xexclude from comparison||PostgreSQL Xexclude from comparison|
|Description||An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink||Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL|
|Primary database model||Time Series DBMS||Time Series DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.|
|Secondary database models||Document store|
|Developer||Apache Software Foundation||Spotify||PostgreSQL Global Development Group www.postgresql.org/developer|
|Initial release||2018||2014||1989 1989: Postgres, 1996: PostgreSQL|
|Current release||14.4, June 2022|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source Apache 2.0||Open Source BSD|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||All OS with a Java VM (>= 1.8)||FreeBSD|
|Typing predefined data types such as float or date||yes||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||yes specific XML-type available, but no XML query functionality.|
|Secondary indexes||yes||yes via Elasticsearch||yes|
|SQL Support of SQL||SQL-like query language||no||yes standard with numerous extensions|
|APIs and other access methods||JDBC|
|HQL (Heroic Query Language, a JSON-based language)|
native C library
streaming API for large objects
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||yes||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Source-replica replication other methods possible by using 3rd party extensions|
|MapReduce Offers an API for user-defined Map/Reduce methods||Integration with Hadoop and Spark||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Strong Consistency with Raft
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||no|
|User concepts Access control||yes||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||Apache IoTDB (Internet of Things Database) is a time series data management system...|
|Competitive advantages||Low Cost and High Performance Tens of million points write throughput High compression...|
|Typical application scenarios||IoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics|
|Key customers||Over 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.|
|Market metrics||185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...|
|Licensing and pricing models||Open Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...|
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