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DBMS > EJDB vs. RRDtool vs. Spark SQL vs. Transbase vs. YottaDB

System Properties Comparison EJDB vs. RRDtool vs. Spark SQL vs. Transbase vs. YottaDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)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.Spark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSA fast and solid embedded Key-value store
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitegithub.com/­Softmotions/­ejdboss.oetiker.ch/­rrdtoolspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlyottadb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdoss.oetiker.ch/­rrdtool/­docspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlyottadb.com/­resources/­documentation
DeveloperSoftmotionsTobias OetikerApache Software FoundationTransaction Software GmbHYottaDB, LLC
Initial release20121999201419872001
Current release1.8.0, 20223.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoGPL V2 and FLOSSOpen Source infoApache 2.0commercial infofree development licenseOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC infoImplementations in Java (e.g. RRD4J) and C# availableScalaC and C++C
Server operating systemsserver-lessHP-UX
Linux
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Docker
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idNumeric data onlyyesyesno
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.no infoExporting into and restoring from XML files possiblenonono
Secondary indexesnononoyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesby using the Octo plugin
APIs and other access methodsin-process shared libraryin-process shared library
Pipes
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
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
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyes 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.yesnonoyes
User concepts infoAccess controlnononofine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
EJDBRRDtoolSpark SQLTransbaseYottaDB
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