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DBMS > Drizzle vs. Neo4j vs. Sqrrl vs. TigerGraph

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

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonNeo4j  Xexclude from comparisonSqrrl  Xexclude from comparisonTigerGraph  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsAdaptable, secure NoSQL built on Apache AccumuloA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websiteneo4j.comsqrrl.comwww.tigergraph.com
Technical documentationneo4j.com/­docsdocs.tigergraph.com
DeveloperDrizzle project, originally started by Brian AkerNeo4j, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2008200720122017
Current release7.2.4, September 20125.18.1, March 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPL version3, commercial licenses availablecommercialcommercial
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++Java, ScalaJavaC++
Server operating systemsFreeBSD
Linux
OS X
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxLinux
Data schemeyesschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoSQL-like query language (GSQL)
APIs and other access methodsJDBCBolt 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
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
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
C++
Java
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsnoyes
Triggersno infohooks for callbacks inside the server can be used.yes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica 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 methodsnonoyesyes
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 integrityyesyes infoRelationships in graphsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic updates per row, document, or graph entityACID
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.no
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)Role-based access control
More information provided by the system vendor
DrizzleNeo4jSqrrlTigerGraph
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 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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More resources
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