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DBMS > Alibaba Cloud TSDB vs. Brytlyt vs. InfluxDB vs. Stardog

System Properties Comparison Alibaba Cloud TSDB vs. Brytlyt vs. InfluxDB vs. Stardog

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Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonInfluxDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDBMS for storing time series, events and metricsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#240  Overall
#16  Time Series DBMS
Score0.31
Rank#260  Overall
#118  Relational DBMS
Score23.34
Rank#29  Overall
#1  Time Series DBMS
Score1.45
Rank#144  Overall
#10  Graph DBMS
#5  RDF stores
Websitewww.alibabacloud.com/­product/­hitsdbwww.brytlyt.comwww.influxdata.com/­products/­influxdb-overviewwww.stardog.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­55652.htmdocs.influxdata.com/­influxdbwww.stardog.com/­docs
DeveloperAlibabaBrytlytStardog-Union
Initial release201620132010
Current release0.9, October 20161.8.0, April 20207.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGoJava
Server operating systemshostedLinux
OS X
Windows
Linux
OS X infothrough Homebrew
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateNumeric data and StringsyesNumeric data and Stringsyes
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 infospecific XML-type available, but no XML query functionality.nono infoImport/export of XML data possible
Secondary indexesnoyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JSON over UDP
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJava.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
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infoin enterprise version onlyMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess managed on TSDB instance levelfine grained access rights according to SQL-standardsimple rights management via user accountsAccess rights for users and roles
More information provided by the system vendor
Alibaba Cloud TSDBBrytlytInfluxDBStardog
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Stardog provides a full featureset to aid in data integration for your complex data....
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Alibaba Cloud TSDBBrytlytInfluxDBStardog
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
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Recent citations in the news

Cloud DBaaS is the future of database management for the Enterprise
7 February 2020, Times of India

provided by Google News

Brytlyt Secures Series A to Turbocharge Real-Time Data Analytics
20 May 2020, PRNewswire

Visualization Startup Brytlyt Combines AI, GPUs, PostgresSQL
21 May 2020, Datanami

Brytlyt raises $4m funding
26 May 2020, Research Live

Daily Research News Online no. 29748 - Growth Funds for Data Viz Firm Brytlyt
22 May 2020, Daily Research News Online

Brytlyt Makes Ground-breaking Progress on the TPC-H Benchmark
17 April 2019, PRNewswire

provided by Google News

Reasons to switch to the InfluxDB time-series database, explored
25 August 2020, TechHQ

How to easily deploy LAN-accessible pods to a Kubernetes cluster
17 September 2020, TechRepublic

Where InfluxDB time series database is going
21 January 2020, TechTarget

InfluxData Brings InfluxDB Cloud 2.0 Serverless Platform to Europe to Support Enterprise Transformation with Time Series Technology
14 November 2019, Business Wire

InfluxDB goes live on Google Cloud
4 February 2020, ZDNet

provided by Google News

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