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DBMS > Brytlyt vs. Datomic vs. InfluxDB vs. Oracle Berkeley DB vs. SiriDB

System Properties Comparison Brytlyt vs. Datomic vs. InfluxDB vs. Oracle Berkeley DB vs. SiriDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatomic  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDBMS for storing time series, events and metricsWidely used in-process key-value storeOpen Source Time Series DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitebrytlyt.iowww.datomic.comwww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsiridb.com
Technical documentationdocs.brytlyt.iodocs.datomic.comdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.siridb.com
DeveloperBrytlytCognitectOracle infooriginally developed by Sleepycat, which was acquired by OracleCesbit
Initial release20162012201319942017
Current release5.0, August 20231.0.6735, June 20232.7.6, April 202418.1.40, May 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availableOpen Source infoMIT License
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 languageC, C++ and CUDAJava, ClojureGoC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsnoyes infoNumeric data
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.yes infospecific XML-type available, but no XML query functionality.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIHTTP API
JSON over UDP
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Clojure
Java
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.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
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infoTransaction Functionsnonono
TriggersyesBy using transaction functionsnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersselectable replication factor infoin enterprise version onlySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyes infoDepending on used storage engineyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple rights management via user accountsnosimple rights management via user accounts
More information provided by the system vendor
BrytlytDatomicInfluxDBOracle Berkeley DBSiriDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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