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DBMS > Apache Druid vs. Blazegraph vs. Brytlyt vs. Cloudflare Workers KV vs. OrigoDB

System Properties Comparison Apache Druid vs. Blazegraph vs. Brytlyt vs. Cloudflare Workers KV vs. OrigoDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBlazegraph  Xexclude from comparisonBrytlyt  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonOrigoDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A fully ACID in-memory object graph database
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Relational DBMSKey-value storeDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitedruid.apache.orgblazegraph.combrytlyt.iowww.cloudflare.com/­developer-platform/­workers-kvorigodb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwiki.blazegraph.comdocs.brytlyt.iodevelopers.cloudflare.com/­kv/­apiorigodb.com/­docs
DeveloperApache Software Foundation and contributorsBlazegraphBrytlytCloudflareRobert Friberg et al
Initial release20122006201620182009 infounder the name LiveDB
Current release29.0.1, April 20242.1.5, March 20195.0, August 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoextended commercial license availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++ and CUDAC#
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
OS X
Windows
hostedLinux
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesnoUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL for queryingSPARQL is used as query languageyesnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Proprietary protocol
.NET Client API
HTTP API
LINQ
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
Server-side scripts infoStored proceduresnoyesuser defined functions infoin PL/pgSQLnoyes
Triggersnonoyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardRole based authorization

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More resources
Apache DruidBlazegraphBrytlytCloudflare Workers KVOrigoDB
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