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DBMS > Apache Impala vs. Cloudflare Workers KV vs. Kdb vs. Teradata Aster vs. TinkerGraph

System Properties Comparison Apache Impala vs. Cloudflare Workers KV vs. Kdb vs. Teradata Aster vs. TinkerGraph

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonKdb  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.High performance Time Series DBMSPlatform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSKey-value storeTime Series DBMS
Vector DBMS
Relational DBMSGraph 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
Score0.32
Rank#283  Overall
#40  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websiteimpala.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvkx.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.cloudflare.com/­kv/­apicode.kx.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCloudflareKx Systems, a division of First Derivatives plcTeradata
Initial release201320182000 infokdb was released 2000, kdb+ in 200320052009
Current release4.1.0, June 20223.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree 32-bit versioncommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++qJava
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesyes infoin Aster File Storeno
Secondary indexesyesnoyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (q)yesno
APIs and other access methodsJDBC
ODBC
HTTP REST
Proprietary protocol
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Java
Python
R
Groovy
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsR packagesno
Triggersnonoyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infosimilar paradigm used for internal processingyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynonoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache ImpalaCloudflare Workers KVKdbTeradata AsterTinkerGraph
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache ImpalaCloudflare Workers KVKdbTeradata AsterTinkerGraph
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