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DBMS > AgensGraph vs. AnzoGraph DB vs. LMDB vs. Sphinx vs. Splice Machine

System Properties Comparison AgensGraph vs. AnzoGraph DB vs. LMDB vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonLMDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable 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 libraryOpen 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
Relational DBMS
Graph DBMS
RDF store
Key-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitebitnine.net/­agensgraphcambridgesemantics.com/­anzographwww.symas.com/­symas-embedded-database-lmdbsphinxsearch.comsplicemachine.com
Technical documentationbitnine.net/­documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.lmdb.tech/­docsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperBitnine Global Inc.Cambridge SemanticsSymasSphinx Technologies Inc.Splice Machine
Initial release20162018201120012014
Current release2.1, December 20182.3, January 20210.9.32, January 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree trial version availableOpen SourceOpen 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 languageCCC++Java
Server operating systemsLinux
OS X
Windows
LinuxLinux
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelSchema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnonoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like query language (SphinxQL)yes
APIs and other access methodsCypher Query Language
JDBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
C++
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++ 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 proceduresyesuser defined functions and aggregatesnonoyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceAutomatic 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 nodesSource-replica replicationMulti-source replication in MPP-ClusternonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphAnzoGraph DBLMDBSphinxSplice Machine
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