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DBMS > Apache Impala vs. CockroachDB vs. H2GIS vs. Microsoft Azure Table Storage vs. QuestDB

System Properties Comparison Apache Impala vs. CockroachDB vs. H2GIS vs. Microsoft Azure Table Storage vs. QuestDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCockroachDB  Xexclude from comparisonH2GIS  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Spatial extension of H2A Wide Column Store for rapid development using massive semi-structured datasetsA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSSpatial DBMSWide column storeTime Series DBMS
Secondary database modelsDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websiteimpala.apache.orgwww.cockroachlabs.comwww.h2gis.orgazure.microsoft.com/­en-us/­services/­storage/­tablesquestdb.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docswww.h2gis.org/­docs/­homequestdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCockroach LabsCNRSMicrosoftQuestDB Technology Inc
Initial release20132015201320122014
Current release4.1.0, June 202224.1.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0, commercial license availableOpen Source infoLGPL 3.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaJava (Zero-GC), C++, Rust
Server operating systemsLinuxLinux
macOS
Windows
hostedLinux
macOS
Windows
Data schemeyesdynamic schemayesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLyesnoSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
JDBCRESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infobased on H2nono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTyes infobased on H2yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic lockingACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.nonoyesnoyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlyes infobased on H2Access rights based on private key authentication or shared access signatures
More information provided by the system vendor
Apache ImpalaCockroachDBH2GISMicrosoft Azure Table StorageQuestDB
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