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DBMS > Amazon Redshift vs. H2 vs. OpenMLDB vs. RRDtool vs. Spark SQL

System Properties Comparison Amazon Redshift vs. H2 vs. OpenMLDB vs. RRDtool vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonH2  Xexclude from comparisonOpenMLDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open-source machine learning database that provides a feature platform for training and inferenceIndustry 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.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.h2database.comopenmldb.aioss.oetiker.ch/­rrdtoolspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­redshiftwww.h2database.com/­html/­main.htmlopenmldb.ai/­docs/­zh/­mainoss.oetiker.ch/­rrdtool/­docspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazon (based on PostgreSQL)Thomas Mueller4 Paradigm Inc.Tobias OetikerApache Software Foundation
Initial release20122005202019992014
Current release2.2.220, July 20232024-2 February 20241.8.0, 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open SourceOpen Source infoGPL V2 and FLOSSOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++, Java, ScalaC infoImplementations in Java (e.g. RRD4J) and C# availableScala
Server operating systemshostedAll OS with a Java VMLinuxHP-UX
Linux
Linux
OS X
Windows
Data schemeyesyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric 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.nononono infoExporting into and restoring from XML files possibleno
Secondary indexesrestrictedyesyesnono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
SQLAlchemy
in-process shared library
Pipes
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaC++
Go
Java
Python
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
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PythonJava Stored Procedures and User-Defined Functionsnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes 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.yesyesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono

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More resources
Amazon RedshiftH2OpenMLDBRRDtoolSpark SQL
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