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DBMS > Brytlyt vs. InfluxDB vs. Oracle Berkeley DB vs. TigerGraph

System Properties Comparison Brytlyt vs. InfluxDB vs. Oracle Berkeley DB vs. TigerGraph

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDBMS for storing time series, events and metricsWidely used in-process key-value storeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#279  Overall
#129  Relational DBMS
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score2.91
Rank#90  Overall
#16  Key-value stores
#2  Native XML DBMS
Score1.01
Rank#148  Overall
#10  Graph DBMS
Websitewww.brytlyt.comwww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.tigergraph.com
Technical documentationdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.tigergraph.com
DeveloperBrytlytOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2016201319942017
Current release0.9, October 20161.7.8, August 201918.1 (Core), June 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGoC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyes infoSQL interfaced based on SQLite is availableSQL-like query language (GSQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JSON over UDP
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.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
Perl
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonoyes
Triggersyesnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infoin enterprise version onlyMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsnoRole-based access control
More information provided by the system vendor
BrytlytInfluxDBOracle Berkeley DBTigerGraph
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
TigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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More resources
BrytlytInfluxDBOracle Berkeley DBTigerGraph
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