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DBMS > Google Cloud Spanner vs. HarperDB vs. Microsoft SQL Server vs. Redis vs. Riak KV

System Properties Comparison Google Cloud Spanner vs. HarperDB vs. Microsoft SQL Server vs. Redis vs. Riak KV

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRedis  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Microsofts flagship relational DBMSPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.Distributed, fault tolerant key-value store
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score155.94
Rank#6  Overall
#1  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitecloud.google.com/­spannerwww.harperdb.iowww.microsoft.com/­en-us/­sql-serverredis.com
redis.io
Technical documentationcloud.google.com/­spanner/­docsdocs.harperdb.io/­docslearn.microsoft.com/­en-US/­sql/­sql-serverdocs.redis.com/­latest/­index.html
redis.io/­docs
www.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogleHarperDBMicrosoftRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.OpenSource, formerly Basho Technologies
Initial release20172017198920092009
Current release3.1, August 2021SQL Server 2022, November 20227.2.5, May 20243.2.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial inforestricted free version is availableOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageNode.jsC++CErlang
Server operating systemshostedLinux
OS X
Linux
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
OS X
Data schemeyesdynamic schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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.nonoyesnono
Secondary indexesyesyesyesyes infowith RediSearch modulerestricted
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like data manipulation statementsyeswith RediSQL moduleno
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
proprietary protocol infoRESP - REdis Serialization ProtocolHTTP API
Native Erlang Interface
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1Transact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaLua; Redis Functions coming in Redis 7 (slides and Github)Erlang
Triggersnonoyespublish/subscribe channels provide some trigger functionality; RedisGearsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clustertables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes infothe nodes on which a table resides can be definedyes, but depending on the SQL-Server EditionMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonothrough RedisGearsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Eventual Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationAtomic execution of specific operationsACIDAtomic execution of command blocks and scripts and optimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesfine grained access rights according to SQL-standardAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
yes, using Riak Security

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More resources
Google Cloud SpannerHarperDBMicrosoft SQL ServerRedisRiak KV
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