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DBMS > Apache Impala vs. BigchainDB vs. Dragonfly vs. Google Cloud Firestore vs. H2GIS

System Properties Comparison Apache Impala vs. BigchainDB vs. Dragonfly vs. Google Cloud Firestore vs. H2GIS

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBigchainDB  Xexclude from comparisonDragonfly  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonH2GIS  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceCloud 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.Spatial extension of H2
Primary database modelRelational DBMSDocument storeKey-value storeDocument storeSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Websiteimpala.apache.orgwww.bigchaindb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
firebase.google.com/­products/­firestorewww.h2gis.org
Technical documentationimpala.apache.org/­impala-docs.htmlbigchaindb.readthedocs.io/­en/­latestwww.dragonflydb.io/­docsfirebase.google.com/­docs/­firestorewww.h2gis.org/­docs/­home
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDragonflyDB team and community contributorsGoogleCNRS
Initial release20132016202320172013
Current release4.1.0, June 20221.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL v3Open Source infoBSL 1.1commercialOpen Source infoLGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonC++Java
Server operating systemsLinuxLinuxLinuxhosted
Data schemeyesschema-freescheme-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnostrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.nonononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoyes
APIs and other access methodsJDBC
ODBC
CLI Client
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuayes, Firebase Rules & Cloud Functionsyes infobased on H2
Triggersnopublish/subscribe channels provide some trigger functionalityyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorSource-replica replicationMulti-source replicationyes infobased on H2
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infobased on H2

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More resources
Apache ImpalaBigchainDBDragonflyGoogle Cloud FirestoreH2GIS
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