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DBMS > Apache Impala vs. JanusGraph vs. Oracle Berkeley DB vs. Quasardb

System Properties Comparison Apache Impala vs. JanusGraph vs. Oracle Berkeley DB vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Widely used in-process key-value storeDistributed, high-performance timeseries database
Primary database modelRelational DBMSGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteimpala.apache.orgjanusgraph.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquasar.ai
Technical documentationimpala.apache.org/­impala-docs.htmldocs.janusgraph.orgdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasar.ai/­master
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaLinux Foundation; originally developed as Titan by AureliusOracle infooriginally developed by Sleepycat, which was acquired by Oraclequasardb
Initial release2013201719942009
Current release4.1.0, June 20220.6.3, February 202318.1.40, May 20203.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infocommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinuxLinux
OS X
Unix
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoSQL interfaced based on SQLite is availableSQL-like query language
APIs and other access methodsJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnono
Triggersnoyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia Faunus, a graph analytics enginenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUser authentification and security via Rexster Graph ServernoCryptographically strong user authentication and audit trail

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Apache ImpalaJanusGraph infosuccessor of TitanOracle Berkeley DBQuasardb
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