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DBMS > BigObject vs. Blazegraph vs. Drizzle vs. KeyDB

System Properties Comparison BigObject vs. Blazegraph vs. Drizzle vs. KeyDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBlazegraph  Xexclude from comparisonDrizzle  Xexclude from comparisonKeyDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedGraph DBMS
RDF store
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Websitebigobject.ioblazegraph.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.bigobject.iowiki.blazegraph.comdocs.keydb.dev
DeveloperBigObject, Inc.BlazegraphDrizzle project, originally started by Brian AkerEQ Alpha Technology Ltd.
Initial release2015200620082019
Current release2.1.5, March 20197.2.4, September 2012
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoextended commercial license availableOpen Source infoGNU GPLOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nono
Secondary indexesyesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLSQL-like DML and DDL statementsSPARQL is used as query languageyes infowith proprietary extensionsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBCProprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Java
PHP
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresLuayesnoLua
Triggersnonono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoSecurity and Authentication via Web Application Container (Tomcat, Jetty)Pluggable authentication mechanisms infoe.g. LDAP, HTTPsimple password-based access control and ACL

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More resources
BigObjectBlazegraphDrizzleKeyDB
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