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DBMS > AnzoGraph DB vs. Databricks vs. HBase vs. Lovefield vs. Sequoiadb

System Properties Comparison AnzoGraph DB vs. Databricks vs. HBase vs. Lovefield vs. Sequoiadb

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatabricks  Xexclude from comparisonHBase  Xexclude from comparisonLovefield  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationThe 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.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable relational database for web apps written in pure JavaScriptNewSQL database with distributed OLTP and SQL
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Wide column storeRelational DBMSDocument store
Relational 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.databricks.comhbase.apache.orggoogle.github.io/­lovefieldwww.sequoiadb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databricks.comhbase.apache.org/­book.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperCambridge SemanticsDatabricksApache Software Foundation infoApache top-level project, originally developed by PowersetGoogleSequoiadb Ltd.
Initial release20182013200820142013
Current release2.3, January 20212.3.4, January 20212.1.12, February 2017
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2
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 languageJavaJavaScriptC++
Server operating systemsLinuxhostedLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)schema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes infooid, date, timestamp, binary, regex
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.noyesnonono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.with Databricks SQLnoSQL-like query language infovia JavaScript builder patternSQL-like query language
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
proprietary protocol using JSON
Supported programming languagesC++
Java
Python
Python
R
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions and aggregatesyes infoCoprocessors in JavanoJavaScript
TriggersnoyesUsing read-only observersno
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-ClusteryesMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnosimple password-based access control
More information provided by the system vendor
AnzoGraph DBDatabricksHBaseLovefieldSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AnzoGraph DBDatabricksHBaseLovefieldSequoiadb
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