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DBMS > Apache Phoenix vs. HugeGraph vs. IRONdb vs. Sadas Engine

System Properties Comparison Apache Phoenix vs. HugeGraph vs. IRONdb vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHugeGraph  Xexclude from comparisonIRONdb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA fast-speed and highly-scalable Graph DBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSGraph DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.37
Rank#104  Overall
#52  Relational DBMS
Score0.42
Rank#271  Overall
#21  Graph DBMS
Score0.12
Rank#349  Overall
#34  Time Series DBMS
Score0.05
Rank#374  Overall
#156  Relational DBMS
Websitephoenix.apache.orggithub.com/­hugegraphwww.circonus.com/­solutions/­time-series-databasewww.sadasengine.com
Technical documentationphoenix.apache.orghugegraph.github.io/­hugegraph-docdocs.circonus.com/­irondbwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperApache Software FoundationBaiduCirconus LLC.SADAS s.r.l.
Initial release2014201820172006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.9V0.10.20, January 20188.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C++
Server operating systemsLinux
Unix
Windows
Linux
macOS
Unix
LinuxAIX
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 indexnoyes
SQL infoSupport of SQLyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsyes, in Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseAutomatic, metric affinity per nodehorizontal partitioning
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 HBaseconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesyesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PhoenixHugeGraphIRONdbSadas Engine
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