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DBMS > Apache Impala vs. Blueflood vs. Cloudflare Workers KV vs. PostGIS vs. TimescaleDB

System Properties Comparison Apache Impala vs. Blueflood vs. Cloudflare Workers KV vs. PostGIS vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlueflood  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonPostGIS  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable TimeSeries DBMS based on CassandraA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Spatial extension of PostgreSQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSKey-value storeSpatial DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteimpala.apache.orgblueflood.iowww.cloudflare.com/­developer-platform/­workers-kvpostgis.netwww.timescale.com
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­rax-maas/­blueflood/­wikidevelopers.cloudflare.com/­kv/­apipostgis.net/­documentationdocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRackspaceCloudflareTimescale
Initial release20132013201820052017
Current release4.1.0, June 20223.4.2, February 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC
Server operating systemsLinuxLinux
OS X
hostedLinux
OS X
Windows
Data schemeyespredefined schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyesyes
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
HTTP RESTHTTP REST
Proprietary protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonouser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrayes infobased on PostgreSQLyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on Cassandrayesyes infobased on PostgreSQLSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
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.nonononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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Apache ImpalaBluefloodCloudflare Workers KVPostGISTimescaleDB
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