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DBMS > Brytlyt vs. InfluxDB vs. RisingWave vs. Spark SQL vs. Stardog

System Properties Comparison Brytlyt vs. InfluxDB vs. RisingWave vs. Spark SQL vs. Stardog

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonInfluxDB  Xexclude from comparisonRisingWave  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDBMS for storing time series, events and metricsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
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
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitebrytlyt.iowww.influxdata.com/­products/­influxdb-overviewwww.risingwave.com/­databasespark.apache.org/­sqlwww.stardog.com
Technical documentationdocs.brytlyt.iodocs.influxdata.com/­influxdbdocs.risingwave.com/­docs/­current/­introspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.com
DeveloperBrytlytRisingWave LabsApache Software FoundationStardog-Union
Initial release20162013202220142010
Current release5.0, August 20232.7.6, April 20241.2, September 20233.5.0 ( 2.13), September 20237.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGoRustScalaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
Docker
Linux
macOS
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesNumeric data and StringsStandard SQL-types and JSONyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesyesnoyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesSQL-like query languageyesSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JSON over UDP
JDBC
PostgreSQL wire protocol
JDBC
ODBC
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 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
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoUDFs in Python or Javanouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infoin enterprise version onlynoneMulti-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 Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infoDepending on used storage engineyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsUsers and RolesnoAccess rights for users and roles
More information provided by the system vendor
BrytlytInfluxDBRisingWaveSpark SQLStardog
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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