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DBMS > Apache Phoenix vs. HugeGraph vs. Infobright vs. Sadas Engine vs. YDB

System Properties Comparison Apache Phoenix vs. HugeGraph vs. Infobright vs. Sadas Engine vs. YDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHugeGraph  Xexclude from comparisonInfobright  Xexclude from comparisonSadas Engine  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA fast-speed and highly-scalable Graph DBMSHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitephoenix.apache.orggithub.com/­hugegraph
hugegraph.apache.org
ignitetech.com/­softwarelibrary/­infobrightdbwww.sadasengine.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationphoenix.apache.orghugegraph.apache.org/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationydb.tech/­en/­docs
DeveloperApache Software FoundationBaiduIgnite Technologies Inc.; formerly InfoBright Inc.SADAS s.r.l.Yandex
Initial release20142018200520062019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.98.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infofree trial version availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC++
Server operating systemsLinux
Unix
Windows
Linux
macOS
Unix
Linux
Windows
AIX
Linux
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesFlexible Schema (defined schema, partial schema, schema 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.nonononono
Secondary indexesyesyes infoalso supports composite index and range indexno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLyesnoyesyesSQL-like query language (YQL)
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioningSharding
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 HBaseSource-replica replicationnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users, groups and roles according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Apache PhoenixHugeGraphInfobrightSadas EngineYDB
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