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DBMS > BigObject vs. Databricks vs. InterSystems Caché vs. NuoDB vs. Solr

System Properties Comparison BigObject vs. Databricks vs. InterSystems Caché vs. NuoDB vs. Solr

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatabricks  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonNuoDB  Xexclude from comparisonSolr  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAnalytic DBMS for real-time computations and queriesThe 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 multi-model DBMS and application serverNuoDB is a webscale distributed database that supports SQL and ACID transactionsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSSearch engine
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitebigobject.iowww.databricks.comwww.intersystems.com/­products/­cachewww.3ds.com/­nuodb-distributed-sql-databasesolr.apache.org
Technical documentationdocs.bigobject.iodocs.databricks.comdocs.intersystems.comdoc.nuodb.comsolr.apache.org/­resources.html
DeveloperBigObject, Inc.DatabricksInterSystemsDassault Systèmes infooriginally NuoDB, Inc.Apache Software Foundation
Initial release20152013199720132006
Current release2018.1.4, May 20209.6.1, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialcommercial infolimited edition freeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)depending on used data modelyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.noyesyesnoyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementswith Databricks SQLyesyesSolr Parallel SQL Interface
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
C#
C++
Java
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresLuauser defined functions and aggregatesyesJava, SQLJava plugins
Triggersnoyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenonedata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationyes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infotunable commit protocoloptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTemporary tableyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesStandard SQL roles/ privileges, Administrative Usersyes
More information provided by the system vendor
BigObjectDatabricksInterSystems CachéNuoDBSolr
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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