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DBMS > Apache Impala vs. Cloudflare Workers KV vs. Drizzle vs. OrigoDB vs. Riak TS

System Properties Comparison Apache Impala vs. Cloudflare Workers KV vs. Drizzle vs. OrigoDB vs. Riak TS

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDrizzle  Xexclude from comparisonOrigoDB  Xexclude from comparisonRiak TS  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A fully ACID in-memory object graph databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websiteimpala.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvorigodb.com
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.cloudflare.com/­kv/­apiorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCloudflareDrizzle project, originally started by Brian AkerRobert Friberg et alOpen Source, formerly Basho Technologies
Initial release2013201820082009 infounder the name LiveDB2015
Current release4.1.0, June 20227.2.4, September 20123.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGNU GPLOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C#Erlang
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Linux
Windows
Linux
OS X
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesUser defined using .NET types and collectionsno
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.nonono infocan be achieved using .NETno
Secondary indexesyesnoyesyesrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith proprietary extensionsnoyes, limited
APIs and other access methodsJDBC
ODBC
HTTP REST
Proprietary protocol
JDBC.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Java
PHP
.NetC 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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyesErlang
Triggersnonono infohooks for callbacks inside the server can be used.yes infoDomain Eventsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesdepending on modelno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
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 KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPRole based authorizationno

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More resources
Apache ImpalaCloudflare Workers KVDrizzleOrigoDBRiak TS
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