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DBMS > Apache Impala vs. Cassandra vs. Dgraph vs. KeyDB

System Properties Comparison Apache Impala vs. Cassandra vs. Dgraph vs. KeyDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCassandra  Xexclude from comparisonDgraph  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDistributed and scalable native Graph DBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMSWide column storeGraph DBMSKey-value store
Secondary database modelsDocument storeVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score101.89
Rank#12  Overall
#1  Wide column stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websiteimpala.apache.orgcassandra.apache.orgdgraph.iogithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationimpala.apache.org/­impala-docs.htmlcassandra.apache.org/­doc/­latestdgraph.io/­docsdocs.keydb.dev
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top level project, originally developped by FacebookDgraph Labs, Inc.EQ Alpha Technology Ltd.
Initial release2013200820162019
Current release4.1.0, June 20224.1.3, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoApache 2.0Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageC++JavaGoC++
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nononono
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyesyes infoby using the Redis Search module
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like SELECT, DML and DDL statements (CQL)nono
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoLua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"yesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possibleSynchronous replication via RaftMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
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 for users can be defined per objectno infoPlanned for future releasessimple password-based access control and ACL
More information provided by the system vendor
Apache ImpalaCassandraDgraphKeyDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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