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DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. BigchainDB vs. Databricks vs. LMDB

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. BigchainDB vs. Databricks vs. LMDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonDatabricks  Xexclude from comparisonLMDB  Xexclude from comparison
This system has been discontinued and will be 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 virtualizationHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A high performant, light-weight, embedded key-value database library
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document storeDocument store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.79
Rank#212  Overall
#36  Document stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.databricks.comwww.symas.com/­symas-embedded-database-lmdb
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmbigchaindb.readthedocs.io/­en/­latestdocs.databricks.comwww.lmdb.tech/­doc
DeveloperCambridge SemanticsAtos Convergence CreatorsDatabricksSymas
Initial release20182016201620132011
Current release2.3, January 202117030.9.32, January 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoAGPL v3commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC
Server operating systemsLinuxLinuxLinuxhostedLinux
Unix
Windows
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateoptionalno
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.noyesnoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonowith Databricks SQLno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
All languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
Python
R
Scala
.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
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions and aggregatesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationyesno
More information provided by the system vendor
AnzoGraph DBAtos Standard Common RepositoryBigchainDBDatabricksLMDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AnzoGraph DBAtos Standard Common RepositoryBigchainDBDatabricksLMDB
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