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DBMS > AgensGraph vs. Apache Phoenix vs. Spark SQL vs. VoltDB vs. WakandaDB

System Properties Comparison AgensGraph vs. Apache Phoenix vs. Spark SQL vs. VoltDB vs. WakandaDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Phoenix  Xexclude from comparisonSpark SQL  Xexclude from comparisonVoltDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA scale-out RDBMS with evolutionary schema built on Apache HBaseSpark SQL is a component on top of 'Spark Core' for structured data processingDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitebitnine.net/­agensgraphphoenix.apache.orgspark.apache.org/­sqlwww.voltdb.comwakanda.github.io
Technical documentationbitnine.net/­documentationphoenix.apache.orgspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.voltdb.comwakanda.github.io/­doc
DeveloperBitnine Global Inc.Apache Software FoundationApache Software FoundationVoltDB Inc.Wakanda SAS
Initial release20162014201420102012
Current release2.1, December 20185.0-HBase2, July 2018 and 4.15-HBase1, December 20193.5.0 ( 2.13), September 202311.3, April 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro EditionsOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaScalaJava, C++C++, JavaScript
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
Linux
OS X
Windows
Linux
OS X infofor development
Linux
OS X
Windows
Data schemedepending on used data modelyes infolate-bound, schema-on-read capabilitiesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsyes infoonly a subset of SQL 99no
APIs and other access methodsCypher Query Language
JDBC
JDBCJDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
JavaScript
Server-side scripts infoStored proceduresyesuser defined functionsnoJavayes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoTransactions are executed single-threaded within stored proceduresACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoUsers and roles with access to stored proceduresyes

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More resources
AgensGraphApache PhoenixSpark SQLVoltDBWakandaDB
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