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DBMS > Apache Drill vs. Apache Impala vs. Cloudflare Workers KV vs. Drizzle vs. H2

System Properties Comparison Apache Drill vs. Apache Impala vs. Cloudflare Workers KV vs. Drizzle vs. H2

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for HadoopA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitedrill.apache.orgimpala.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.h2database.com
Technical documentationdrill.apache.org/­docsimpala.apache.org/­impala-docs.htmldevelopers.cloudflare.com/­kv/­apiwww.h2database.com/­html/­main.html
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaCloudflareDrizzle project, originally started by Brian AkerThomas Mueller
Initial release20122013201820082005
Current release1.20.3, January 20234.1.0, June 20227.2.4, September 20122.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2commercialOpen Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinux
OS X
Windows
LinuxhostedFreeBSD
Linux
OS X
All OS with a Java VM
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsnoyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP REST
Proprietary protocol
JDBCJDBC
ODBC
Supported programming languagesC++All languages supporting JDBC/ODBCC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Java
PHP
Java
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reducenonoJava Stored Procedures and User-Defined Functions
Triggersnononono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual 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, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenonoyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Apache DrillApache ImpalaCloudflare Workers KVDrizzleH2
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