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DBMS > Apache Drill vs. Databricks vs. Drizzle vs. GigaSpaces vs. PouchDB

System Properties Comparison Apache Drill vs. Databricks vs. Drizzle vs. GigaSpaces vs. PouchDB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPouchDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageThe 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitedrill.apache.orgwww.databricks.comwww.gigaspaces.compouchdb.com
Technical documentationdrill.apache.org/­docsdocs.databricks.comdocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guides
DeveloperApache Software FoundationDatabricksDrizzle project, originally started by Brian AkerGigaspaces TechnologiesApache Software Foundation
Initial release20122013200820002012
Current release1.20.3, January 20237.2.4, September 201215.5, September 20207.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetJavaScript
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesno infoXML can be used for describing objects metadatano
Secondary indexesnoyesyesyesyes infovia views
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantwith Databricks SQLyes infowith proprietary extensionsSQL-99 for query and DML statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++Python
R
Scala
C
C++
Java
PHP
.Net
C++
Java
Python
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesnoyesView functions in JavaScript
Triggersnono infohooks for callbacks inside the server can be used.yes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesyes
User concepts infoAccess controlDepending on the underlying data sourcePluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlno
More information provided by the system vendor
Apache DrillDatabricksDrizzleGigaSpacesPouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DrillDatabricksDrizzleGigaSpacesPouchDB
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