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DBMS > AlaSQL vs. IRONdb vs. RisingWave vs. Spark SQL

System Properties Comparison AlaSQL vs. IRONdb vs. RisingWave vs. Spark SQL

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonIRONdb  Xexclude from comparisonRisingWave  Xexclude from comparisonSpark SQL  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionJavaScript DBMS libraryA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA distributed RDBMS for stream processing, wire-compatible with PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Time Series 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
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitealasql.orgwww.circonus.com/solutions/time-series-database/www.risingwave.com/­databasespark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqldocs.circonus.com/irondb/category/getting-starteddocs.risingwave.com/­docs/­current/­introspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffCirconus LLC.RisingWave LabsApache Software Foundation
Initial release2014201720222014
Current releaseV0.10.20, January 20181.2, September 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC and C++RustScala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxDocker
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infotext, numeric, histogramsStandard SQL-types and JSONyes
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 indexesnonoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIHTTP APIJDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesJavaScript.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes, in LuaUDFs in Python or Javano
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnonoUsers and Rolesno

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More resources
AlaSQLIRONdbRisingWaveSpark SQL
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