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DBMS > AlaSQL vs. BigchainDB vs. Google Cloud Spanner vs. jBASE vs. Spark SQL

System Properties Comparison AlaSQL vs. BigchainDB vs. Google Cloud Spanner vs. jBASE vs. Spark SQL

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonjBASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A robust multi-value DBMS comprising development tools and middlewareSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSMultivalue 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
Score0.79
Rank#212  Overall
#36  Document stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitealasql.orgwww.bigchaindb.comcloud.google.com/­spannerwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasespark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqlbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­spanner/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffGoogleRocket Software (formerly Zumasys)Apache Software Foundation
Initial release20142016201719912014
Current release5.73.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoAGPL v3commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptPythonScala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxhostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenonoyesoptionalyes
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.nononoyesno
Secondary indexesnoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infoQuery statements complying to ANSI 2011Embedded SQL for jBASE in BASICSQL-like DML and DDL statements
APIs and other access methodsJavaScript APICLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
Supported programming languagesJavaScriptGo
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
Jabbascript
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication with 3 replicas for regional instances.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACID infoStrict serializable isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnoyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelno

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More resources
AlaSQLBigchainDBGoogle Cloud SpannerjBASESpark SQL
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