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DBMS > Apache Impala vs. Badger vs. EJDB vs. Microsoft SQL Server vs. Newts

System Properties Comparison Apache Impala vs. Badger vs. EJDB vs. Microsoft SQL Server vs. Newts

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonEJDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Microsofts flagship relational DBMSTime Series DBMS based on Cassandra
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.27
Rank#297  Overall
#44  Document stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteimpala.apache.orggithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbwww.microsoft.com/­en-us/­sql-serveropennms.github.io/­newts
Technical documentationimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdlearn.microsoft.com/­en-US/­sql/­sql-servergithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsSoftmotionsMicrosoftOpenNMS Group
Initial release20132017201219892014
Current release4.1.0, June 2022SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPLv2commercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoCC++Java
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
server-lessLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes infostring, integer, double, bool, date, object_idyesyes
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.nonoyesno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesno
APIs and other access methodsJDBC
ODBC
in-process shared libraryADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
Java API
Supported programming languagesAll languages supporting JDBC/ODBCGoActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneyes, but depending on the SQL-Server Editionselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes 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.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnonofine grained access rights according to SQL-standardno

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More resources
Apache ImpalaBadgerEJDBMicrosoft SQL ServerNewts
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