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DBMS > Apache Impala vs. BaseX vs. Cloudflare Workers KV vs. Google Cloud Spanner vs. Kyligence Enterprise

System Properties Comparison Apache Impala vs. BaseX vs. Cloudflare Workers KV vs. Google Cloud Spanner vs. Kyligence Enterprise

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBaseX  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelRelational DBMSNative XML DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Websiteimpala.apache.orgbasex.orgwww.cloudflare.com/­developer-platform/­workers-kvcloud.google.com/­spannerkyligence.io/­kyligence-enterprise
Technical documentationimpala.apache.org/­impala-docs.htmldocs.basex.orgdevelopers.cloudflare.com/­kv/­apicloud.google.com/­spanner/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBaseX GmbHCloudflareGoogleKyligence, Inc.
Initial release20132007201820172016
Current release4.1.0, June 202210.7, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinuxLinux
OS X
Windows
hostedhostedLinux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesnoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infoQuery statements complying to ANSI 2011ANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
HTTP REST
Proprietary protocol
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnono
Triggersnoyes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyesMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernoACID infoStrict serializable isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache ImpalaBaseXCloudflare Workers KVGoogle Cloud SpannerKyligence Enterprise
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