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DBMS > AnzoGraph DB vs. Apache Drill vs. DolphinDB vs. Heroic vs. Sqrrl

System Properties Comparison AnzoGraph DB vs. Apache Drill vs. DolphinDB vs. Heroic vs. Sqrrl

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Drill  Xexclude from comparisonDolphinDB  Xexclude from comparisonHeroic  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been 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 virtualizationSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Time Series DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational 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#127  Overall
#23  Document stores
#60  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitecambridgesemantics.com/­anzographdrill.apache.orgwww.dolphindb.comgithub.com/­spotify/­heroicsqrrl.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdrill.apache.org/­docsdocs.dolphindb.cn/­en/­help200/­index.htmlspotify.github.io/­heroic
DeveloperCambridge SemanticsApache Software FoundationDolphinDB, IncSpotifyAmazon infooriginally Sqrrl Data, Inc.
Initial release20182012201820142012
Current release2.3, January 20211.20.3, January 2023v2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2commercial infofree community version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-freeschema-free
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.nononono
Secondary indexesnonoyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL SELECT statement is SQL:2003 compliantSQL-like query languagenono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Java
Python
C++C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyesnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioningShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityno infonot needed in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourceyesno
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourceAdministrators, Users, GroupsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
AnzoGraph DBApache DrillDolphinDBHeroicSqrrl
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