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DBMS > AlaSQL vs. Apache Pinot vs. EXASOL vs. Splice Machine

System Properties Comparison AlaSQL vs. Apache Pinot vs. EXASOL vs. Splice Machine

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Pinot  Xexclude from comparisonEXASOL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitealasql.orgpinot.apache.orgwww.exasol.comsplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.pinot.apache.orgwww.exasol.com/­resourcessplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsExasolSplice Machine
Initial release2014201520002014
Current release1.0.0, September 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java JDK11 or higherLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageyesyes
APIs and other access methodsJavaScript APIJDBC.Net
JDBC
ODBC
WebSocket
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptGo
Java
Python
Java
Lua
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes infoJava
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLApache PinotEXASOLSplice Machine
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