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DBMS > AlaSQL vs. etcd vs. HEAVY.AI vs. Pinecone

System Properties Comparison AlaSQL vs. etcd vs. HEAVY.AI vs. Pinecone

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonetcd  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionJavaScript DBMS libraryA distributed reliable key-value storeA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA managed, cloud-native vector database
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSVector DBMS
Secondary database modelsSpatial 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
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitealasql.orgetcd.io
github.com/­etcd-io/­etcd
github.com/­heavyai/­heavydb
www.heavy.ai
www.pinecone.io
Technical documentationgithub.com/­AlaSQL/­alasqletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.heavy.aidocs.pinecone.io/­docs/­overview
DeveloperAndrey Gershun & Mathias R. WulffHEAVY.AI, Inc.Pinecone Systems, Inc
Initial release201420162019
Current release3.4, August 20195.10, January 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoC++ and CUDA
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
Windows infoexperimental
Linuxhosted
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyesString, 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 indexesnonono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyesno
APIs and other access methodsJavaScript APIgRPC
JSON over HTTP
JDBC
ODBC
Thrift
Vega
RESTful HTTP API
Supported programming languagesJavaScript.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Python
Server-side scripts infoStored proceduresnonono
Triggersyesyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenono
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.yesnoyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
AlaSQLetcdHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Pinecone
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