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DBMS > AnzoGraph DB vs. Cloudflare Workers KV vs. Memcached vs. Sphinx vs. Splice Machine

System Properties Comparison AnzoGraph DB vs. Cloudflare Workers KV vs. Memcached vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonMemcached  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.In-memory key-value store, originally intended for cachingOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.cloudflare.com/­developer-platform/­workers-kvwww.memcached.orgsphinxsearch.comsplicemachine.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdevelopers.cloudflare.com/­kv/­apigithub.com/­memcached/­memcached/­wikisphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperCambridge SemanticsCloudflareDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSphinx Technologies Inc.Splice Machine
Initial release20182018200320012014
Current release2.3, January 20211.6.27, May 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoBSD licenseOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenononoyes
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 indexesnononoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoSQL-like query language (SphinxQL)yes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP REST
Proprietary protocol
Proprietary protocolProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnononoyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesnone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesnoyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesyes infousing SASL (Simple Authentication and Security Layer) protocolnoAccess rights for users, groups and roles according to SQL-standard

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More resources
AnzoGraph DBCloudflare Workers KVMemcachedSphinxSplice Machine
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