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DBMS > AlaSQL vs. Databend vs. dBASE vs. Google Cloud Bigtable vs. Sadas Engine

System Properties Comparison AlaSQL vs. Databend vs. dBASE vs. Google Cloud Bigtable vs. Sadas Engine

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDatabend  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitydBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value store
Wide column store
Relational 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
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitealasql.orggithub.com/­datafuselabs/­databend
www.databend.com
www.dbase.comcloud.google.com/­bigtablewww.sadasengine.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.databend.comwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAndrey Gershun & Mathias R. WulffDatabend LabsAsthon TateGoogleSADAS s.r.l.
Initial release20142021197920152006
Current release1.0.59, April 2023dBASE 2019, 20198.0
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptRustC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hosted
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
hostedAIX
Linux
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnonoyes
APIs and other access methodsJavaScript APICLI Client
JDBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaScriptGo
Java
JavaScript (Node.js)
Python
Rust
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonono infoThe IDE can access stored procedures in other database systems.nono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenoneInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operations
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.yesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLDatabenddBASEGoogle Cloud BigtableSadas Engine
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