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DBMS > Amazon Redshift vs. Databend vs. Databricks vs. RRDtool vs. Yaacomo

System Properties Comparison Amazon Redshift vs. Databend vs. Databricks vs. RRDtool vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabend  Xexclude from comparisonDatabricks  Xexclude from comparisonRRDtool  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websiteaws.amazon.com/­redshiftgithub.com/­datafuselabs/­databend
www.databend.com
www.databricks.comoss.oetiker.ch/­rrdtoolyaacomo.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databend.comdocs.databricks.comoss.oetiker.ch/­rrdtool/­doc
DeveloperAmazon (based on PostgreSQL)Databend LabsDatabricksTobias OetikerQ2WEB GmbH
Initial release20122021201319992009
Current release1.0.59, April 20231.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCRustC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedhosted
Linux
macOS
hostedHP-UX
Linux
Android
Linux
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesno infoExporting into and restoring from XML files possibleno
Secondary indexesrestrictednoyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyeswith Databricks SQLnoyes
APIs and other access methodsJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Rust
Python
R
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnouser defined functions and aggregatesno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftDatabendDatabricksRRDtoolYaacomo
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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