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DBMS > AlaSQL vs. Amazon Aurora vs. Apache Druid vs. Postgres-XL vs. Sqrrl

System Properties Comparison AlaSQL vs. Amazon Aurora vs. Apache Druid vs. Postgres-XL vs. Sqrrl

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonApache Druid  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryMySQL and PostgreSQL compatible cloud service by AmazonOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument storeDocument store
Spatial 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
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitealasql.orgaws.amazon.com/­rds/­auroradruid.apache.orgwww.postgres-xl.orgsqrrl.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldruid.apache.org/­docs/­latest/­designwww.postgres-xl.org/­documentation
DeveloperAndrey Gershun & Mathias R. WulffAmazonApache Software Foundation and contributorsAmazon infooriginally Sqrrl Data, Inc.
Initial release2014201520122014 infosince 2012, originally named StormDB2012
Current release29.0.1, April 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache license v2Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaCJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Unix
Linux
macOS
Linux
Data schemeschema-freeyesyes infoschema-less columns are supportedyesschema-free
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.noyesnoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesSQL for queryingyes infodistributed, parallel query executionno
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesJavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesnouser defined functionsno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infomanual/auto, time-basedhorizontal partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes, via HDFS, S3 or other storage enginesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnoACID infoMVCCAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
AlaSQLAmazon AuroraApache DruidPostgres-XLSqrrl
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