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DBMS > Apache Impala vs. OushuDB vs. Realm vs. ScyllaDB

System Properties Comparison Apache Impala vs. OushuDB vs. Realm vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonOushuDB  Xexclude from comparisonRealm  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSRelational DBMSDocument storeWide column store
Secondary database modelsDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.05
Rank#357  Overall
#151  Relational DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score4.15
Rank#69  Overall
#5  Wide column stores
Websiteimpala.apache.orgwww.oushu.com/­product/­oushuDBrealm.iowww.scylladb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.oushu.com/­documentationrealm.io/­docsdocs.scylladb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaOushuRealm, acquired by MongoDB in May 2019ScyllaDB
Initial release201320142015
Current release4.1.0, June 20224.0.1, August 2020ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen SourceOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C++
Server operating systemsLinuxLinuxAndroid
Backend: server-less
iOS
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statementsFull-featured ANSI SQL supportnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
.Net
Java infowith Android only
Objective-C
React Native
Swift
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno inforuns within the applications so server-side scripts are unnecessaryyes, Lua
Triggersnoyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyes infoin-memory tables
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosKerberos, SSL and role based accessyesAccess rights for users can be defined per object
More information provided by the system vendor
Apache ImpalaOushuDBRealmScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
Apache ImpalaOushuDBRealmScyllaDB
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