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DBMS > Apache Impala vs. atoti vs. BoltDB vs. Dragonfly

System Properties Comparison Apache Impala vs. atoti vs. BoltDB vs. Dragonfly

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonatoti  Xexclude from comparisonBoltDB  Xexclude from comparisonDragonfly  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embedded key-value store for Go.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance
Primary database modelRelational DBMSObject oriented DBMSKey-value storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Websiteimpala.apache.orgatoti.iogithub.com/­boltdb/­boltgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.atoti.iowww.dragonflydb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaActiveViamDragonflyDB team and community contributors
Initial release201320132023
Current release4.1.0, June 20221.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree versions availableOpen Source infoMIT LicenseOpen Source infoBSL 1.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freescheme-free
Typing infopredefined data types such as float or dateyesnostrings, hashes, lists, sets, sorted sets, bit arrays
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsMultidimensional Expressions (MDX)nono
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesAll languages supporting JDBC/ODBCGoC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePythonnoLua
Triggersnonopublish/subscribe channels provide some trigger functionality
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesAtomic execution of command blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes, strict serializability by the server
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoPassword-based authentication

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More resources
Apache ImpalaatotiBoltDBDragonfly
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