MarkLogic vs Microsoft SQL Server

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MarkLogic
MarkLogic

13
17
+ 1
23
Microsoft SQL Server
Microsoft SQL Server

3.9K
2.7K
+ 1
525
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MarkLogic vs Microsoft SQL Server: What are the differences?

Developers describe MarkLogic as "Schema-agnostic Enterprise NoSQL database technology, coupled w/ powerful search & flexible application services". MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services. On the other hand, Microsoft SQL Server is detailed as "A relational database management system developed by Microsoft". Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

MarkLogic and Microsoft SQL Server can be categorized as "Databases" tools.

"RDF Triples" is the top reason why over 3 developers like MarkLogic, while over 134 developers mention "Reliable and easy to use" as the leading cause for choosing Microsoft SQL Server.

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What is MarkLogic?

MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.

What is Microsoft SQL Server?

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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Why do developers choose MarkLogic?
Why do developers choose Microsoft SQL Server?

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    What tools integrate with MarkLogic?
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    What are some alternatives to MarkLogic and Microsoft SQL Server?
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Neo4j
    Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    HBase
    Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
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    Decisions about MarkLogic and Microsoft SQL Server
    Amazon ElastiCache
    Amazon ElastiCache
    Amazon Elasticsearch Service
    Amazon Elasticsearch Service
    AWS Elastic Load Balancing (ELB)
    AWS Elastic Load Balancing (ELB)
    Memcached
    Memcached
    Redis
    Redis
    Python
    Python
    AWS Lambda
    AWS Lambda
    Amazon RDS
    Amazon RDS
    Microsoft SQL Server
    Microsoft SQL Server
    MariaDB
    MariaDB
    Amazon RDS for PostgreSQL
    Amazon RDS for PostgreSQL
    Rails
    Rails
    Ruby
    Ruby
    Heroku
    Heroku
    AWS Elastic Beanstalk
    AWS Elastic Beanstalk

    We initially started out with Heroku as our PaaS provider due to a desire to use it by our original developer for our Ruby on Rails application/website at the time. We were finding response times slow, it was painfully slow, sometimes taking 10 seconds to start loading the main page. Moving up to the next "compute" level was going to be very expensive.

    We moved our site over to AWS Elastic Beanstalk , not only did response times on the site practically become instant, our cloud bill for the application was cut in half.

    In database world we are currently using Amazon RDS for PostgreSQL also, we have both MariaDB and Microsoft SQL Server both hosted on Amazon RDS. The plan is to migrate to AWS Aurora Serverless for all 3 of those database systems.

    Additional services we use for our public applications: AWS Lambda, Python, Redis, Memcached, AWS Elastic Load Balancing (ELB), Amazon Elasticsearch Service, Amazon ElastiCache

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    Interest over time
    Reviews of MarkLogic and Microsoft SQL Server
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    How developers use MarkLogic and Microsoft SQL Server
    Avatar of Brillium, Inc.
    Brillium, Inc. uses Microsoft SQL ServerMicrosoft SQL Server

    We've always counted on SQL Server as our database backend. It has served us well over the years. It isn't the cheapest part of our stack, but with the plethora of tools provided by 3rd parties, we have found an incredible and scalable method of keeping our data available and easy to maintain.

    Avatar of Andrew Miller
    Andrew Miller uses Microsoft SQL ServerMicrosoft SQL Server

    Defacto, industry standard for backend relational databases. Entity Framework makes designing, migrating & maintaining SQL Server databases a breeze. LocalDB is especially helpful during development.

    Avatar of David Flynn
    David Flynn uses Microsoft SQL ServerMicrosoft SQL Server

    Our core systems that we integrate with are using SQL Server 2012 / 2016 database servers. We use database views on core system databases to help build our domain model.

    Avatar of Olo
    Olo uses Microsoft SQL ServerMicrosoft SQL Server

    Main transactional database. SQL Server 2012 Enterprise with AlwaysOn Availability Groups for high availability and disaster recovery.

    Avatar of Arbor Health, LLC
    Arbor Health, LLC uses Microsoft SQL ServerMicrosoft SQL Server

    Managing script output and input, as well as data cleansing.

    How much does MarkLogic cost?
    How much does Microsoft SQL Server cost?
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    Pricing unavailable
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