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DBMS > AlaSQL vs. Apache Phoenix vs. CouchDB vs. Databricks vs. InfinityDB

System Properties Comparison AlaSQL vs. Apache Phoenix vs. CouchDB vs. Databricks vs. InfinityDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryA scale-out RDBMS with evolutionary schema built on Apache HBaseA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A Java embedded Key-Value Store which extends the Java Map interface
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeDocument store
Relational DBMS
Key-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Websitealasql.orgphoenix.apache.orgcouchdb.apache.orgwww.databricks.comboilerbay.com
Technical documentationgithub.com/­AlaSQL/­alasqlphoenix.apache.orgdocs.couchdb.org/­en/­stabledocs.databricks.comboilerbay.com/­infinitydb/­manual
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksBoiler Bay Inc.
Initial release20142014200520132002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20234.0
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaErlangJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VM
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or datenoyesnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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.nononoyesno
Secondary indexesnoyesyes infovia viewsyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnowith Databricks SQLno
APIs and other access methodsJavaScript APIJDBCRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesJavaScriptC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
Java
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptuser defined functions and aggregatesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoimproved architecture with release 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesnonono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDno infoatomic operations within a single document possibleACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonono
User concepts infoAccess controlnoAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per databaseno
More information provided by the system vendor
AlaSQLApache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksInfinityDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AlaSQLApache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksInfinityDB
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