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DBMS > AlaSQL vs. Apache Phoenix vs. Databend vs. Spark SQL vs. VoltDB

System Properties Comparison AlaSQL vs. Apache Phoenix vs. Databend vs. Spark SQL vs. VoltDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDatabend  Xexclude from comparisonSpark SQL  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryA scale-out RDBMS with evolutionary schema built on Apache HBaseAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitySpark 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 memory
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitealasql.orgphoenix.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
spark.apache.org/­sqlwww.voltdb.com
Technical documentationgithub.com/­AlaSQL/­alasqlphoenix.apache.orgdocs.databend.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.voltdb.com
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationDatabend LabsApache Software FoundationVoltDB Inc.
Initial release20142014202120142010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.59, April 20233.5.0 ( 2.13), September 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageJavaScriptJavaRustScalaJava, C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows
hosted
Linux
macOS
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesnonoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesyesSQL-like DML and DDL statementsyes infoonly a subset of SQL 99
APIs and other access methodsJavaScript APIJDBCCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJavaScriptC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnonoJava
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
nonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDyesnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept, user rolesnoUsers and roles with access to stored procedures

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AlaSQLApache PhoenixDatabendSpark SQLVoltDB
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