DBMS > Quasardb vs. TimescaleDB
System Properties Comparison Quasardb vs. TimescaleDB
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|Editorial information provided by DB-Engines|
|Name||Quasardb Xexclude from comparison||TimescaleDB Xexclude from comparison|
|Description||Distributed, high-performance timeseries database||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Time Series DBMS||Time Series DBMS|
|Secondary database models||Relational DBMS|
|Current release||3.13.3, April 2022||2.6.0, February 2022|
|License Commercial or Open Source||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no|
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|Server operating systems||BSD|
|Typing predefined data types such as float or date||yes integer and binary||numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types|
|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||yes|
|Secondary indexes||yes with tags||yes|
|SQL Support of SQL||SQL-like query language||yes full PostgreSQL SQL syntax|
|APIs and other access methods||HTTP API||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell|
|Partitioning methods Methods for storing different data on different nodes||Sharding consistent hashing||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication with selectable replication factor||Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||with Hadoop integration||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes by using LevelDB||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes Transient mode||no|
|User concepts Access control||Cryptographically strong user authentication and audit trail||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||Timescale is the creator of TimescaleDB , the first open-source relational database...|
|Competitive advantages||TimescaleDB is purpose-built to scale and handle time-series data workloads and is...|
|Typical application scenarios||Time-series Analytics TimescaleDB boosts the performance of PostgreSQL for time-series...|
|Key customers||TransferWise, Maersk, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco, Nutanix, Warner...|
|Market metrics||With over 12,700 GitHub stars and growing, 1,000,000 active databases, and an active...|
|Licensing and pricing models||TimescaleDB is available as a self-hosted product under two licenses, the Timescale...|
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