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DBMS > AlaSQL vs. Apache Pinot vs. Cloudflare Workers KV vs. dBASE vs. Google Cloud Bigtable

System Properties Comparison AlaSQL vs. Apache Pinot vs. Cloudflare Workers KV vs. dBASE vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Pinot  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionJavaScript DBMS libraryRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.dBase 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.
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Websitealasql.orgpinot.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.dbase.comcloud.google.com/­bigtable
Technical documentationgithub.com/­AlaSQL/­alasqldocs.pinot.apache.orgdevelopers.cloudflare.com/­kv/­apiwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docs
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsCloudflareAsthon TateGoogle
Initial release20142015201819792015
Current release1.0.0, September 2023dBASE 2019, 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java JDK11 or higherhostedDOS infodBase Classic
Windows infodBase Pro
hosted
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyesno
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.nonono
Secondary indexesnonoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languagenonono
APIs and other access methodsJavaScript APIJDBCHTTP REST
Proprietary protocol
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJavaScriptGo
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono infoThe IDE can access stored procedures in other database systems.no
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnono
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AlaSQLApache PinotCloudflare Workers KVdBASEGoogle Cloud Bigtable
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