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DBMS > Apache Drill vs. BoltDB vs. etcd vs. Google Cloud Firestore vs. Netezza

System Properties Comparison Apache Drill vs. BoltDB vs. etcd vs. Google Cloud Firestore vs. Netezza

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBoltDB  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn embedded key-value store for Go.A distributed reliable key-value storeCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Relational DBMS
Key-value storeKey-value storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitedrill.apache.orggithub.com/­boltdb/­boltetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestorewww.ibm.com/­products/­netezza
Technical documentationdrill.apache.org/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestore
DeveloperApache Software FoundationGoogleIBM
Initial release2012201320172000
Current release1.20.3, January 20233.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGo
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
Windows infoexperimental
hostedLinux infoincluded in appliance
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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 indexesnononoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnononoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesC++Go.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsnonoyes, Firebase Rules & Cloud Functionsyes
Triggersnonoyes, watching key changesyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
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 replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlDepending on the underlying data sourcenonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users with fine-grained authorization concept

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More resources
Apache DrillBoltDBetcdGoogle Cloud FirestoreNetezza infoAlso called PureData System for Analytics by IBM
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