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DBMS > AnzoGraph DB vs. GridDB vs. LMDB vs. RavenDB

System Properties Comparison AnzoGraph DB vs. GridDB vs. LMDB vs. RavenDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGridDB  Xexclude from comparisonLMDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationScalable in-memory time series database optimized for IoT and Big DataA high performant, light-weight, embedded key-value database libraryOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value storeDocument store
Secondary database modelsKey-value store
Relational DBMS
Graph DBMS
Spatial DBMS
Time Series 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
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Websitecambridgesemantics.com/­anzographgriddb.netwww.symas.com/­symas-embedded-database-lmdbravendb.net
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.griddb.netwww.lmdb.tech/­docravendb.net/­docs
DeveloperCambridge SemanticsToshiba CorporationSymasHibernating Rhinos
Initial release2018201320112010
Current release2.3, January 20215.1, August 20220.9.32, January 20245.4, July 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen SourceOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC#
Server operating systemsLinuxLinuxLinux
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampno
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 indexesnoyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query language (RQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate consistency within container, eventual consistency across containersImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databasenoAuthorization levels configured per client per database
More information provided by the system vendor
AnzoGraph DBGridDBLMDBRavenDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
AnzoGraph DBGridDBLMDBRavenDB
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