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DBMS > Datomic vs. Oracle Berkeley DB vs. Quasardb vs. QuestDB vs. RRDtool

System Properties Comparison Datomic vs. Oracle Berkeley DB vs. Quasardb vs. QuestDB vs. RRDtool

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWidely used in-process key-value storeDistributed, high-performance timeseries databaseA high performance open source SQL database for time series dataIndustry 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.
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitewww.datomic.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquasar.aiquestdb.iooss.oetiker.ch/­rrdtool
Technical documentationdocs.datomic.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasar.ai/­masterquestdb.io/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperCognitectOracle infooriginally developed by Sleepycat, which was acquired by OraclequasardbQuestDB Technology IncTobias Oetiker
Initial release20121994200920141999
Current release1.0.6735, June 202318.1.40, May 20203.14.1, January 20241.8.0, 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infocommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC, Java, C++ (depending on the Berkeley DB edition)C++Java (Zero-GC), C++, RustC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Windows
HP-UX
Linux
Data schemeyesschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryyesNumeric data only
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.noyes infoonly with the Berkeley DB XML editionnonono infoExporting into and restoring from XML files possible
Secondary indexesyesyesyes infowith tagsnono
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableSQL-like query languageSQL with time-series extensionsno
APIs and other access methodsRESTful HTTP APIHTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
in-process shared library
Pipes
Supported programming languagesClojure
Java
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
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 proceduresyes infoTransaction Functionsnononono
TriggersBy using transaction functionsyes infoonly for the SQL APInonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infoconsistent hashinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication with selectable replication factorSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes infoTransient modeyes infothrough memory mapped filesyes
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trailno
More information provided by the system vendor
DatomicOracle Berkeley DBQuasardbQuestDBRRDtool
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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