DBMS > Citus vs. RRDtool vs. Sqrrl
System Properties Comparison Citus vs. RRDtool vs. Sqrrl
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|Editorial information provided by DB-Engines
|Citus Xexclude from comparison
|RRDtool Xexclude from comparison
|Sqrrl Xexclude from comparison
|Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
|Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL
|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.
|Adaptable, secure NoSQL built on Apache Accumulo
|Primary database model
|Time Series DBMS
Wide column store
|Secondary database models
|Amazon originally Sqrrl Data, Inc.
|8.1, December 2018
|License Commercial or Open Source
|Open Source AGPL, commercial license also available
|Open Source GPL V2 and FLOSS
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|C Implementations in Java (e.g. RRD4J) and C# available
|Server operating systems
|Typing predefined data types such as float or date
|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 specific XML type available, but no XML query functionality
|no Exporting into and restoring from XML files possible
|SQL Support of SQL
|yes standard, with numerous extensions
|APIs and other access methods
native C library
streaming API for large objects
|in-process shared library
RESTful HTTP API
|Supported programming languages
|C with librrd library
C# with a different implementation of RRDTool
Java with a different implementation of RRDTool
PHP with a wrapper library
C using GLib
|Server-side scripts Stored procedures
|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 making use of Hadoop
|Replication methods Methods for redundantly storing data on multiple nodes
|Source-replica replication other methods possible by using 3rd party extensions
|selectable replication factor making use of Hadoop
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Atomic updates per row, document, or graph entity
|Concurrency Support for concurrent manipulation of data
|yes by using the rrdcached daemon
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|fine grained access rights according to SQL-standard
|Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
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