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DBMS > AnzoGraph DB vs. LMDB vs. Oracle NoSQL vs. Sphinx vs. Splice Machine

System Properties Comparison AnzoGraph DB vs. LMDB vs. Oracle NoSQL vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonLMDB  Xexclude from comparisonOracle NoSQL  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 high performant, light-weight, embedded key-value database libraryA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen 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 storeDocument store
Key-value store
Relational DBMS
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database/­nosql/­technologies/­nosqlsphinxsearch.comsplicemachine.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.lmdb.tech/­docdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperCambridge SemanticsSymasOracleSphinx Technologies Inc.Splice Machine
Initial release20182011201120012014
Current release2.3, January 20210.9.32, January 202423.3, December 20233.5.1, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen SourceOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
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 languageCJavaC++Java
Server operating systemsLinuxLinux
Unix
Windows
Linux
Solaris SPARC/x86
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesyes
Typing infopredefined data types such as float or dateoptionalnoyes
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.nonono
Secondary indexesnonoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like DML and DDL statementsSQL-like query language (SphinxQL)yes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C#
Go
Java
JavaScript (Node.js)
Python
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 shardingnoneShardingSharding 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-ClusternoneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnowith Hadoop integrationnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDconfigurable infoACID within a storage node (=shard)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes 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.yesyesyes infooff heap cacheyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
AnzoGraph DBLMDBOracle NoSQLSphinxSplice Machine
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