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DBMS > AlaSQL vs. Amazon DocumentDB vs. GeoSpock vs. Pinecone

System Properties Comparison AlaSQL vs. Amazon DocumentDB vs. GeoSpock vs. Pinecone

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonPinecone  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSpatial and temporal data processing engine for extreme data scaleA managed, cloud-native vector database
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSVector DBMS
Secondary database modelsTime Series 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
Score1.91
Rank#132  Overall
#24  Document stores
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitealasql.orgaws.amazon.com/­documentdbgeospock.comwww.pinecone.io
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­documentdb/­resourcesdocs.pinecone.io/­docs/­overview
DeveloperAndrey Gershun & Mathias R. WulffGeoSpockPinecone Systems, Inc
Initial release201420192019
Current release2.0, September 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJava, Javascript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedhostedhosted
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesString, Number, Boolean
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 indexesnoyestemporal, categorical
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noANSI SQL for query only (using Presto)no
APIs and other access methodsJavaScript APIproprietary protocol using JSON (MongoDB compatible)JDBCRESTful HTTP API
Supported programming languagesJavaScriptGo
Java
JavaScript (Node.js)
PHP
Python
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-availability zones for high availability, asynchronous replication for up to 15 read replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic single-document operationsno
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 can be defined per table

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More resources
AlaSQLAmazon DocumentDBGeoSpockPinecone
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