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DBMS > Apache Impala vs. Microsoft Azure Table Storage vs. Riak TS vs. TinkerGraph vs. XTDB

System Properties Comparison Apache Impala vs. Microsoft Azure Table Storage vs. Riak TS vs. TinkerGraph vs. XTDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRiak TS  Xexclude from comparisonTinkerGraph  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA Wide Column Store for rapid development using massive semi-structured datasetsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSWide column storeTime Series DBMSGraph DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score4.92
Rank#73  Overall
#6  Wide column stores
Score0.25
Rank#308  Overall
#26  Time Series DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websiteimpala.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablestinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftOpen Source, formerly Basho TechnologiesJuxt Ltd.
Initial release20132012201520092019
Current release4.1.0, June 20223.0.0, September 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen SourceOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangJavaClojure
Server operating systemsLinuxhostedLinux
OS X
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes, extensible-data-notation format
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 indexesyesnorestrictednoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes, limitednolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHTTP API
Native Erlang Interface
TinkerPop 3HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Groovy
Java
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoErlangnono
Triggersnonoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factornoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynonono infolinks between datasets can be storedyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights based on private key authentication or shared access signaturesnono

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More resources
Apache ImpalaMicrosoft Azure Table StorageRiak TSTinkerGraphXTDB infoformerly named Crux
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