DBMS > Apache IoTDB vs. Rockset vs. VoltDB
System Properties Comparison Apache IoTDB vs. Rockset vs. VoltDB
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|Editorial information provided by DB-Engines|
|Name||Apache IoTDB Xexclude from comparison||Rockset Xexclude from comparison||VoltDB 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||A scalable, reliable search and analytics service in the cloud, built on RocksDB||Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory|
|Primary database model||Time Series DBMS||Document store||Relational DBMS|
|Secondary database models||Relational DBMS|
|Developer||Apache Software Foundation||Rockset||VoltDB Inc.|
|Current release||11.3, April 2022|
|License Commercial or Open Source||Open Source Apache Version 2.0||commercial||Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions|
|Cloud-based only Only available as a cloud service||no||yes||no|
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|Implementation language||Java||C++||Java, C++|
|Server operating systems||All OS with a Java VM (>= 1.8)||hosted||Linux|
OS X for development
|Typing predefined data types such as float or date||yes||dynamic typing||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 ingestion from XML files supported|
|Secondary indexes||yes||all fields are automatically indexed||yes|
|SQL Support of SQL||SQL-like query language||Read-only SQL queries, including JOINs||yes only a subset of SQL 99|
|APIs and other access methods||JDBC|
|HTTP REST||Java API|
RESTful HTTP/JSON API
|Supported programming languages||Go|
Erlang not officially supported
|Server-side scripts Stored procedures||yes||no||Java|
|Partitioning methods Methods for storing different data on different nodes||Automatic sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication|
|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||no FOREIGN KEY constraints are not supported|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID Transactions are executed single-threaded within stored procedures|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes Data access is serialized by the server|
|Durability Support for making data persistent||yes||yes||yes Snapshots and command logging|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||yes||Access rights for users and organizations can be defined via Rockset console||Users and roles with access to stored procedures|
|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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