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DBMS > Axibase vs. Drizzle vs. Neo4j vs. Sqrrl

System Properties Comparison Axibase vs. Drizzle vs. Neo4j vs. Sqrrl

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDrizzle  Xexclude from comparisonNeo4j  Xexclude from comparisonSqrrl  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Open source graph databaseAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSRelational DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#247  Overall
#15  Time Series DBMS
Score51.66
Rank#22  Overall
#1  Graph DBMS
Websiteaxibase.com/­products/­axibase-time-series-databaseneo4j.comsqrrl.com
Technical documentationgithub.com/­axibase/­atsdneo4j.com/­docs
DeveloperAxibase CorporationDrizzle project, originally started by Brian AkerNeo4j, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2013200820072012
Current release155857.2.4, September 20123.5.8, July 2019
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoGNU GPLOpen Source infoGPL version3, commercial licenses availablecommercial
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 languageJavaC++Java, ScalaJava
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeyesyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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.no
Secondary indexesnoyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsnono
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBCBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C++
Java
PHP
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesnoyes infoUser defined Procedures and Functionsno
Triggersyesno infohooks for callbacks inside the server can be used.yes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
AxibaseDrizzleNeo4jSqrrl
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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