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DBMS > AlaSQL vs. Apache Pinot vs. HarperDB vs. KeyDB vs. Splice Machine

System Properties Comparison AlaSQL vs. Apache Pinot vs. HarperDB vs. KeyDB vs. Splice Machine

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Pinot  Xexclude from comparisonHarperDB  Xexclude from comparisonKeyDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeKey-value storeRelational 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
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitealasql.orgpinot.apache.orgwww.harperdb.iogithub.com/­Snapchat/­KeyDB
keydb.dev
splicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.pinot.apache.orgdocs.harperdb.io/­docsdocs.keydb.devsplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsHarperDBEQ Alpha Technology Ltd.Splice Machine
Initial release20142015201720192014
Current release1.0.0, September 20233.1, August 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoBSD-3Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaNode.jsC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java JDK11 or higherLinux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infoJSON data typespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 indexesnoyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageSQL-like data manipulation statementsnoyes
APIs and other access methodsJavaScript APIJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptGo
Java
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1Luayes infoJava
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningA table resides as a whole on one (or more) nodes in a clusterShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic execution of specific operationsOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes, using LMDByes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoAccess rights for users and rolessimple password-based access control and ACLAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLApache PinotHarperDBKeyDBSplice Machine
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