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DBMS > Apache Phoenix vs. LokiJS vs. Microsoft SQL Server vs. Newts vs. SurrealDB

System Properties Comparison Apache Phoenix vs. LokiJS vs. Microsoft SQL Server vs. Newts vs. SurrealDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNewts  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseIn-memory JavaScript DBMSMicrosofts flagship relational DBMSTime Series DBMS based on CassandraA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSDocument store
Graph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitephoenix.apache.orggithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­sql-serveropennms.github.io/­newtssurrealdb.com
Technical documentationphoenix.apache.orgtechfort.github.io/­LokiJSlearn.microsoft.com/­en-US/­sql/­sql-servergithub.com/­OpenNMS/­newts/­wikisurrealdb.com/­docs
DeveloperApache Software FoundationMicrosoftOpenNMS GroupSurrealDB Ltd
Initial release20142014198920142022
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019SQL Server 2022, November 2022v1.1.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++JavaRust
Server operating systemsLinux
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesyes infovia viewsyesno
SQL infoSupport of SQLyesnoyesnoSQL-like query language
APIs and other access methodsJDBCJavaScript APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
Java API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaScriptC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes, but depending on the SQL-Server Editionselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardnoyes, based on authentication and database rules

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More resources
Apache PhoenixLokiJSMicrosoft SQL ServerNewtsSurrealDB
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