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DBMS > Apache Impala vs. ScyllaDB vs. SwayDB vs. TerminusDB

System Properties Comparison Apache Impala vs. ScyllaDB vs. SwayDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonScyllaDB  Xexclude from comparisonSwayDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCassandra and DynamoDB compatible wide column storeAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSWide column storeKey-value storeGraph DBMS
Secondary database modelsDocument storeKey-value storeDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteimpala.apache.orgwww.scylladb.comswaydb.simer.auterminusdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.scylladb.comterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaScyllaDBSimer PlahaDataChemist Ltd.
Initial release2013201520182018
Current release4.1.0, June 2022ScyllaDB Open Source 5.4.1, January 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoGNU Affero GPL V3.0Open Source infoGPL V3
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++ScalaProlog, Rust
Server operating systemsLinuxLinuxLinux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyes infocluster global secondary indicesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL)noSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBCFor 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
Java
Kotlin
Scala
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, Luanoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possiblenoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tablesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per objectnoRole-based access control
More information provided by the system vendor
Apache ImpalaScyllaDBSwayDBTerminusDB infoformer name was DataChemist
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
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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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Apache ImpalaScyllaDBSwayDBTerminusDB infoformer name was DataChemist
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