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

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

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonHypertable  Xexclude from comparisonPinecone  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn open source BigTable implementation based on distributed file systems such as HadoopA managed, cloud-native vector database
Primary database modelDocument store
Relational DBMS
Document storeWide column storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#262  Overall
#40  Document stores
#121  Relational DBMS
Score1.88
Rank#124  Overall
#22  Document stores
Score3.06
Rank#87  Overall
#4  Vector DBMS
Websitealasql.orgaws.amazon.com/­documentdbwww.pinecone.io
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­documentdb/­resourcesdocs.pinecone.io/­docs/­overview
DeveloperAndrey Gershun & Mathias R. WulffHypertable Inc.Pinecone Systems, Inc
Initial release2014201920092019
Current release0.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnoString, 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.nonono
Secondary indexesnoyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonono
APIs and other access methodsJavaScript APIproprietary protocol using JSON (MongoDB compatible)C++ API
Thrift
RESTful HTTP API
Supported programming languagesJavaScriptGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
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.yesno
User concepts infoAccess controlnoAccess rights for users and rolesno

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AlaSQLAmazon DocumentDBHypertablePinecone
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