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DBMS > Apache Impala vs. Datomic vs. JanusGraph vs. NSDb vs. TDengine

System Properties Comparison Apache Impala vs. Datomic vs. JanusGraph vs. NSDb vs. TDengine

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNSDb  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSGraph DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteimpala.apache.orgwww.datomic.comjanusgraph.orgnsdb.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comdocs.janusgraph.orgnsdb.io/­Architecturedocs.tdengine.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectLinux Foundation; originally developed as Titan by AureliusTDEngine, previously Taos Data
Initial release20132012201720172019
Current release4.1.0, June 20221.0.6735, June 20230.6.3, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureJavaJava, ScalaC
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
macOS
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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 indexesyesyesyesall fields are automatically indexedno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC
HTTP REST
WebSocket
JDBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Clojure
Java
Python
Java
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsyesnono
TriggersnoBy using transaction functionsyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoUser authentification and security via Rexster Graph Serveryes
More information provided by the system vendor
Apache ImpalaDatomicJanusGraph infosuccessor of TitanNSDbTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Apache ImpalaDatomicJanusGraph infosuccessor of TitanNSDbTDengine
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