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DBMS > AnzoGraph DB vs. Drizzle vs. Memcached vs. SQream DB vs. Sqrrl

System Properties Comparison AnzoGraph DB vs. Drizzle vs. Memcached vs. SQream DB vs. Sqrrl

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonMemcached  Xexclude from comparisonSQream DB  Xexclude from comparisonSqrrl  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.In-memory key-value store, originally intended for cachinga GPU-based, columnar RDBMS for big data analytics workloadsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.memcached.orgsqream.comsqrrl.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­memcached/­memcached/­wikidocs.sqream.com
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSQream TechnologiesAmazon infooriginally Sqrrl Data, Inc.
Initial release20182008200320172012
Current release2.3, January 20217.2.4, September 20121.6.27, May 20242022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU GPLOpen Source infoBSD licensecommercialcommercial
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++CC++, CUDA, Haskell, Java, ScalaJava
Server operating systemsLinuxFreeBSD
Linux
OS X
FreeBSD
Linux
OS X
Unix
Windows
LinuxLinux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Typesyes
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.no
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsnoyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCProprietary protocol.Net
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Java
Python
C
C++
Java
PHP
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonouser defined functions in Pythonno
Triggersnono infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonehorizontal and vertical partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
none infoRepcached, a Memcached patch, provides this functionallitynoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPyes infousing SASL (Simple Authentication and Security Layer) protocolCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
AnzoGraph DBDrizzleMemcachedSQream DBSqrrl
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