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DBMS > Apache Impala vs. BoltDB vs. CouchDB vs. Google BigQuery vs. JanusGraph

System Properties Comparison Apache Impala vs. BoltDB vs. CouchDB vs. Google BigQuery vs. JanusGraph

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embedded key-value store for Go.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Large scale data warehouse service with append-only tablesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMSGraph DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score8.30
Rank#47  Overall
#7  Document stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websiteimpala.apache.orggithub.com/­boltdb/­boltcouchdb.apache.orgcloud.google.com/­bigqueryjanusgraph.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablecloud.google.com/­bigquery/­docsdocs.janusgraph.org
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleLinux Foundation; originally developed as Titan by Aurelius
Initial release20132013200520102017
Current release4.1.0, June 20223.3.3, December 20230.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoApache version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoErlangJava
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeyesyes
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.nonononono
Secondary indexesyesnoyes infovia viewsnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIRESTful HTTP/JSON APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages supporting JDBC/ODBCGoC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoView functions in JavaScriptuser defined functions infoin JavaScriptyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoimproved architecture with release 2.0noneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoatomic operations within a single document possibleno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users can be defined per databaseAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)User authentification and security via Rexster Graph Server

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More resources
Apache ImpalaBoltDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google BigQueryJanusGraph infosuccessor of Titan
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