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DBMS > AlaSQL vs. Apache Impala vs. Google Cloud Datastore vs. SAP Adaptive Server vs. STSdb

System Properties Comparison AlaSQL vs. Apache Impala vs. Google Cloud Datastore vs. SAP Adaptive Server vs. STSdb

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Impala  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionJavaScript DBMS libraryAnalytic DBMS for HadoopAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitealasql.orgimpala.apache.orgcloud.google.com/­datastorewww.sap.com/­products/­technology-platform/­sybase-ase.htmlgithub.com/­STSSoft/­STSdb4
Technical documentationgithub.com/­AlaSQL/­alasqlimpala.apache.org/­impala-docs.htmlcloud.google.com/­datastore/­docshelp.sap.com/­docs/­SAP_ASE
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleSAP, SybaseSTS Soft SC
Initial release20142013200819872011
Current release4.1.0, June 202216.04.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2commercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C and C++C#
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxhostedAIX
HP-UX
Linux
Solaris
Unix
Windows
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes, details hereyesyes infoprimitive types and user defined types (classes)
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 indexesnoyesyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like DML and DDL statementsSQL-like query language (GQL)yesno
APIs and other access methodsJavaScript APIJDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBC.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Cobol
Java
Java
Perl
PHP
Python
C#
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceusing Google App EngineJava and Transact-SQLno
TriggersyesnoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication using PaxosMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
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.yesnono
User concepts infoAccess controlnoAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
AlaSQLApache ImpalaGoogle Cloud DatastoreSAP Adaptive Server infoformer name: Sybase ASESTSdb
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