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DBMS > InfinityDB vs. RisingWave vs. RRDtool vs. SAP SQL Anywhere vs. Spark SQL

System Properties Comparison InfinityDB vs. RisingWave vs. RRDtool vs. SAP SQL Anywhere vs. Spark SQL

Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonRisingWave  Xexclude from comparisonRRDtool  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceA distributed RDBMS for stream processing, wire-compatible with PostgreSQLIndustry 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.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteboilerbay.comwww.risingwave.com/­databaseoss.oetiker.ch/­rrdtoolwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sql
Technical documentationboilerbay.com/­infinitydb/­manualdocs.risingwave.com/­docs/­current/­introoss.oetiker.ch/­rrdtool/­dochelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBoiler Bay Inc.RisingWave LabsTobias OetikerSAP infoformerly SybaseApache Software Foundation
Initial release20022022199919922014
Current release4.01.2, September 20231.8.0, 202217, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL V2 and FLOSScommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustC infoImplementations in Java (e.g. RRD4J) and C# availableScala
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
HP-UX
Linux
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesyesyes
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysStandard SQL-types and JSONNumeric data onlyyesyes
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.nonono infoExporting into and restoring from XML files possibleyesno
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilityyesnoyesno
SQL infoSupport of SQLnoyesnoyesSQL-like DML and DDL statements
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
PostgreSQL wire protocol
in-process shared library
Pipes
ADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
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
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoUDFs in Python or Javanoyes, in C/C++, Java, .Net or Perlno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnoneImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilitynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyesyes
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.noyesyesyesno
User concepts infoAccess controlnoUsers and Rolesnofine grained access rights according to SQL-standardno

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More resources
InfinityDBRisingWaveRRDtoolSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQL
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