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DBMS > Apache Impala vs. Dragonfly vs. EJDB vs. Hypertable vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Impala vs. Dragonfly vs. EJDB vs. Hypertable vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDragonfly  Xexclude from comparisonEJDB  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceEmbeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSKey-value storeDocument storeWide column storeRelational DBMS
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
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteimpala.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­Softmotions/­ejdbazure.microsoft.com/­services/­synapse-analytics
Technical documentationimpala.apache.org/­impala-docs.htmlwww.dragonflydb.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDragonflyDB team and community contributorsSoftmotionsHypertable Inc.Microsoft
Initial release20132023201220092016
Current release4.1.0, June 20221.0, March 20230.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSL 1.1Open Source infoGPLv2Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CC++C++
Server operating systemsLinuxLinuxserver-lessLinux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemeyesscheme-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes infostring, integer, double, bool, date, object_idnoyes
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 indexesyesnonorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization Protocolin-process shared libraryC++ API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
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
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuanonoTransact SQL
Triggersnopublish/subscribe channels provide some trigger functionalitynonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneselectable replication factor on file system levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possiblenono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes infoRead/Write Lockingyesyes
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPassword-based authenticationnonoyes

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More resources
Apache ImpalaDragonflyEJDBHypertableMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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