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DBMS > Apache Phoenix vs. Graph Engine vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. Sqrrl

System Properties Comparison Apache Phoenix vs. Graph Engine vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. Sqrrl

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA fast-speed and highly-scalable Graph DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSGraph DBMS
Key-value store
Graph DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitephoenix.apache.orgwww.graphengine.iogithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­services/­synapse-analyticssqrrl.com
Technical documentationphoenix.apache.orgwww.graphengine.io/­docs/­manualhugegraph.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software FoundationMicrosoftBaiduMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20142010201820162012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CJavaC++Java
Server operating systemsLinux
Unix
Windows
.NETLinux
macOS
Unix
hostedLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesnonoyesno
APIs and other access methodsJDBCRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
F#
Visual Basic
Groovy
Java
Python
C#
Java
PHP
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 functionsyesasynchronous Gremlin script jobsTransact SQLno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding, horizontal partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationvia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyes infoedges in graphno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionsyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Apache PhoenixGraph Engine infoformer name: TrinityHugeGraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSqrrl
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