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Best Database Management Systems (DBMS) - Page 7

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Database management systems (DBMS) are designed to define, store, retrieve, and manage the data within a database. It allows users to create, maintain, and manage databases. DBMS manipulates the database as per the user requirements. Using DBMS ensures that the data of an organization is clean, consistent, secure, relevant, and supports concurrency.

Along with the standard database functionalities (e.g., CRUD operations), DBMS software has much stronger management capabilities. These include functions like stronger metadata visibility and analysis, in-depth and custom reporting, performance monitoring, usage analytics, and compliance checks. Extensive solutions may offer capabilities of database backup software, data replication software, disaster recovery software, or disaster recovery as a service (DRaaS) software, as well.

Typically used by database administrators, DBMS are integral to preserving database quality and integrity. They fall into a larger database-oriented stack, which can include solutions like database security and database monitoring.

DBMS is used as part of both relational and non-relational databases. DBMS software are of different types, in association with the database being managed and organized. Some of the more popular DBMS are as follows:

Relational: Associated typically with relational databases, the relational model organizes data tabularly (rows and columns approach) and is currently the most standard database model. DMBS focused on the relational model are referred to as RDBMS.
Object oriented: Object-oriented databases follow a programming-style, object-oriented approach to entering and organizing data. DBMS aligned with this model are referred to as OODMBS.
Hierarchical: In a hierarchical model, data is organized with a tree-like structure, where associations (“branches") extend from a point of data. DBMS aligned with this model are sometimes referred to as HDBMS.
Distributed: Under a distributed database model, data is decentralized and stored across several locations. These locations can be physically local (e.g., different servers in the same data center) or spread apart (perhaps connected via SD-WAN). DMBS aligned with the distributed database model are sometimes referred to as DDBMS.
Non-relational DBMS or NoSQL DBMS: NoSQL DBMS support both structured and unstructured data. There is no set defined schema as compared to other data models. The key benefit of this DBMS is that users can process queries of various elements and not be limited by the structure.

To qualify for inclusion in the Database Management Systems (DBMS) category, a product must:

Manage and align with a database model (e.g., relational, object-oriented, hierarchical, distributed, non-relational)
Can also exist as a standalone tool to manage databases
Provide database maintenance functionalities
Provide extensive reporting and activity analytics
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236 Listings in Database Management Systems (DBMS) Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    dtSearch is a software company which specializes in text retrieval software. It helps to instantly search terabytes across an Internet or Intranet site, network, desktop or mobile device.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Enterprise
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dtSearch features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.2
    Data dictionary
    Average: 8.5
    10.0
    Backup and Recovery
    Average: 8.5
    8.3
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    dtSearch
    HQ Location
    Bethesda, MA
    Twitter
    @dtSearchUK
    1,011 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

dtSearch is a software company which specializes in text retrieval software. It helps to instantly search terabytes across an Internet or Intranet site, network, desktop or mobile device.

Users
No information available
Industries
No information available
Market Segment
  • 60% Enterprise
  • 40% Small-Business
dtSearch features and usability ratings that predict user satisfaction
0.0
No information available
9.2
Data dictionary
Average: 8.5
10.0
Backup and Recovery
Average: 8.5
8.3
Data Migration
Average: 8.4
Seller Details
Seller
dtSearch
HQ Location
Bethesda, MA
Twitter
@dtSearchUK
1,011 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hue is an open-source SQL Assistant designed to simplify querying and exploring databases and data warehouses. It offers an intuitive interface that enables users to write, execute, and share SQL quer

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Enterprise
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hue Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    1
    Dashboards
    1
    Ease of Use
    1
    Easy Integrations
    1
    Cons
    Function Limitations
    1
    Learning Curve
    1
    Limitations
    1
    Limited Customization
    1
    Limited Resources
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hue features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Data dictionary
    Average: 8.5
    8.3
    Backup and Recovery
    Average: 8.5
    8.3
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Gethue
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hue is an open-source SQL Assistant designed to simplify querying and exploring databases and data warehouses. It offers an intuitive interface that enables users to write, execute, and share SQL quer

Users
No information available
Industries
No information available
Market Segment
  • 75% Enterprise
  • 25% Mid-Market
Hue Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
1
Dashboards
1
Ease of Use
1
Easy Integrations
1
Cons
Function Limitations
1
Learning Curve
1
Limitations
1
Limited Customization
1
Limited Resources
1
Hue features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.2
Data dictionary
Average: 8.5
8.3
Backup and Recovery
Average: 8.5
8.3
Data Migration
Average: 8.4
Seller Details
Seller
Gethue
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®

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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MongoDB Compass is a powerful GUI for querying, aggregating, and analyzing your MongoDB data in a visual environment. Compass is free to use and source available, and can be run on macOS, Windows, an

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Mid-Market
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MongoDB Compass Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Database Management
    2
    Ease of Use
    2
    Easy Integrations
    2
    Implementation Ease
    2
    Integrations
    2
    Cons
    Complex Syntax
    1
    Frequent Updates
    1
    Learning Curve
    1
    Limitations
    1
    Poor Customer Support
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MongoDB Compass features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Data dictionary
    Average: 8.5
    8.3
    Backup and Recovery
    Average: 8.5
    8.8
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MongoDB
    Year Founded
    2007
    HQ Location
    New York
    Twitter
    @MongoDB
    502,032 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,592 employees on LinkedIn®
    Ownership
    NASDAQ: MDB
Product Description
How are these determined?Information
This description is provided by the seller.

MongoDB Compass is a powerful GUI for querying, aggregating, and analyzing your MongoDB data in a visual environment. Compass is free to use and source available, and can be run on macOS, Windows, an

Users
No information available
Industries
No information available
Market Segment
  • 75% Mid-Market
  • 25% Small-Business
MongoDB Compass Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Database Management
2
Ease of Use
2
Easy Integrations
2
Implementation Ease
2
Integrations
2
Cons
Complex Syntax
1
Frequent Updates
1
Learning Curve
1
Limitations
1
Poor Customer Support
1
MongoDB Compass features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
8.8
Data dictionary
Average: 8.5
8.3
Backup and Recovery
Average: 8.5
8.8
Data Migration
Average: 8.4
Seller Details
Seller
MongoDB
Year Founded
2007
HQ Location
New York
Twitter
@MongoDB
502,032 Twitter followers
LinkedIn® Page
www.linkedin.com
7,592 employees on LinkedIn®
Ownership
NASDAQ: MDB
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    QueryClips is a data sharing solution for savvy PMs and developers.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • QueryClips features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    7.2
    Data dictionary
    Average: 8.5
    6.7
    Backup and Recovery
    Average: 8.5
    7.8
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    Twitter
    @queryclips
    4 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

QueryClips is a data sharing solution for savvy PMs and developers.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 25% Mid-Market
QueryClips features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
7.2
Data dictionary
Average: 8.5
6.7
Backup and Recovery
Average: 8.5
7.8
Data Migration
Average: 8.4
Seller Details
HQ Location
N/A
Twitter
@queryclips
4 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of histor

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 79% Small-Business
    • 18% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tiger Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    8
    Analytics
    4
    Easy Setup
    4
    Performance
    4
    Setup Ease
    4
    Cons
    Expensive
    4
    Expensive Licensing
    3
    Missing Features
    3
    Poor UI
    3
    Slow Performance
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tiger Data features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 8.8
    7.5
    Data dictionary
    Average: 8.5
    8.3
    Backup and Recovery
    Average: 8.5
    8.3
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2015
    HQ Location
    New York, New York
    Twitter
    @TigerDatabase
    676 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    49 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of histor

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 79% Small-Business
  • 18% Mid-Market
Tiger Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
8
Analytics
4
Easy Setup
4
Performance
4
Setup Ease
4
Cons
Expensive
4
Expensive Licensing
3
Missing Features
3
Poor UI
3
Slow Performance
3
Tiger Data features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 8.8
7.5
Data dictionary
Average: 8.5
8.3
Backup and Recovery
Average: 8.5
8.3
Data Migration
Average: 8.4
Seller Details
Company Website
Year Founded
2015
HQ Location
New York, New York
Twitter
@TigerDatabase
676 Twitter followers
LinkedIn® Page
www.linkedin.com
49 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Trafodion is a webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop.Trafodion provides SQL access to structured, semi-structured, and unstructured d

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Small-Business
    • 20% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Apache Trafodion Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Time Saving
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Trafodion features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data dictionary
    Average: 8.5
    8.3
    Backup and Recovery
    Average: 8.5
    8.3
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,738 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,345 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Trafodion is a webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop.Trafodion provides SQL access to structured, semi-structured, and unstructured d

Users
No information available
Industries
No information available
Market Segment
  • 80% Small-Business
  • 20% Mid-Market
Apache Trafodion Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Time Saving
1
Cons
This product has not yet received any negative sentiments.
Apache Trafodion features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data dictionary
Average: 8.5
8.3
Backup and Recovery
Average: 8.5
8.3
Data Migration
Average: 8.4
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,738 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aqua Data Studio is a universal integrated development environment (IDE) for databases and visual analytics. It enables database developers, database administrators, and data and business analysts to

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Aqua Data Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    3
    Database Management
    2
    Easy Integrations
    2
    User Interface
    2
    Analytics
    1
    Cons
    Complex Configuration
    1
    Connection Issues
    1
    Learning Curve
    1
    Learning Difficulty
    1
    Migration Difficulties
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aqua Data Studio features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    7.2
    Data dictionary
    Average: 8.5
    8.9
    Backup and Recovery
    Average: 8.5
    8.3
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    Houston, TX
    Twitter
    @MigrationWiz
    486 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    68 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Aqua Data Studio is a universal integrated development environment (IDE) for databases and visual analytics. It enables database developers, database administrators, and data and business analysts to

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 33% Small-Business
Aqua Data Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
3
Database Management
2
Easy Integrations
2
User Interface
2
Analytics
1
Cons
Complex Configuration
1
Connection Issues
1
Learning Curve
1
Learning Difficulty
1
Migration Difficulties
1
Aqua Data Studio features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
7.2
Data dictionary
Average: 8.5
8.9
Backup and Recovery
Average: 8.5
8.3
Data Migration
Average: 8.4
Seller Details
Company Website
Year Founded
1999
HQ Location
Houston, TX
Twitter
@MigrationWiz
486 Twitter followers
LinkedIn® Page
www.linkedin.com
68 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Baserow is the open platform to create scalable databases and applications without code. With its intuitive interface and flexibility, Baserow empowers teams to manage data with ease. Real-time collab

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Baserow Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Affordable
    1
    Collaboration
    1
    Customization
    1
    Customization Flexibility
    1
    Database Management
    1
    Cons
    Learning Curve
    2
    Integration Issues
    1
    Learning Difficulty
    1
    Limited Features
    1
    Performance Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Baserow features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    6.7
    Data dictionary
    Average: 8.5
    8.3
    Backup and Recovery
    Average: 8.5
    6.7
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Baserow
    Year Founded
    2020
    HQ Location
    Zaanstad, NL
    Twitter
    @baserow
    2,455 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    20 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Baserow is the open platform to create scalable databases and applications without code. With its intuitive interface and flexibility, Baserow empowers teams to manage data with ease. Real-time collab

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Baserow Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Affordable
1
Collaboration
1
Customization
1
Customization Flexibility
1
Database Management
1
Cons
Learning Curve
2
Integration Issues
1
Learning Difficulty
1
Limited Features
1
Performance Issues
1
Baserow features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
6.7
Data dictionary
Average: 8.5
8.3
Backup and Recovery
Average: 8.5
6.7
Data Migration
Average: 8.4
Seller Details
Seller
Baserow
Year Founded
2020
HQ Location
Zaanstad, NL
Twitter
@baserow
2,455 Twitter followers
LinkedIn® Page
www.linkedin.com
20 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CA Datacom is a high-volume workload and fault-tolerant capabilities. CA Datacom®, and its family of rDBMS products, provides you with that repository.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CA Datacom features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    6.7
    Data dictionary
    Average: 8.5
    6.7
    Backup and Recovery
    Average: 8.5
    5.0
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Broadcom
    Year Founded
    1991
    HQ Location
    San Jose, CA
    Twitter
    @broadcom
    61,454 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    56,584 employees on LinkedIn®
    Ownership
    NASDAQ: CA
Product Description
How are these determined?Information
This description is provided by the seller.

CA Datacom is a high-volume workload and fault-tolerant capabilities. CA Datacom®, and its family of rDBMS products, provides you with that repository.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Small-Business
CA Datacom features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
6.7
Data dictionary
Average: 8.5
6.7
Backup and Recovery
Average: 8.5
5.0
Data Migration
Average: 8.4
Seller Details
Seller
Broadcom
Year Founded
1991
HQ Location
San Jose, CA
Twitter
@broadcom
61,454 Twitter followers
LinkedIn® Page
www.linkedin.com
56,584 employees on LinkedIn®
Ownership
NASDAQ: CA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DittoBitto is a clever, easy to use, yet powerful multi-user relational database management system. DittoBitto is based on the Microsoft Access database format but doesn't require all the virtual basi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DittoBitto features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Data dictionary
    Average: 8.5
    10.0
    Backup and Recovery
    Average: 8.5
    10.0
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DittoBitto is a clever, easy to use, yet powerful multi-user relational database management system. DittoBitto is based on the Microsoft Access database format but doesn't require all the virtual basi

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Small-Business
DittoBitto features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
10.0
Data dictionary
Average: 8.5
10.0
Backup and Recovery
Average: 8.5
10.0
Data Migration
Average: 8.4
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cross platform MongoDB management

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mongotron features and usability ratings that predict user satisfaction
    6.7
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Mongotron
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cross platform MongoDB management

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Mongotron features and usability ratings that predict user satisfaction
6.7
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Mongotron
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MySQLMan is a web based MySQL database manager that allows performing common maintenance and administration tasks in MySQL quickly.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MySQLMan features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Data dictionary
    Average: 8.5
    7.5
    Backup and Recovery
    Average: 8.5
    7.5
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Toronto, CA
    LinkedIn® Page
    www.linkedin.com
    76 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MySQLMan is a web based MySQL database manager that allows performing common maintenance and administration tasks in MySQL quickly.

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Enterprise
MySQLMan features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.2
Data dictionary
Average: 8.5
7.5
Backup and Recovery
Average: 8.5
7.5
Data Migration
Average: 8.4
Seller Details
Year Founded
1999
HQ Location
Toronto, CA
LinkedIn® Page
www.linkedin.com
76 employees on LinkedIn®
(3)3.5 out of 5
View top Consulting Services for Oracle Big Data SQL Cloud Service
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applicat

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Oracle Big Data SQL Cloud Service Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    1
    Scalability
    1
    Cons
    Integration Issues
    1
    Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Big Data SQL Cloud Service features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data dictionary
    Average: 8.5
    8.3
    Backup and Recovery
    Average: 8.5
    5.0
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    820,686 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    197,850 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applicat

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Mid-Market
Oracle Big Data SQL Cloud Service Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
1
Scalability
1
Cons
Integration Issues
1
Limitations
1
Oracle Big Data SQL Cloud Service features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data dictionary
Average: 8.5
8.3
Backup and Recovery
Average: 8.5
5.0
Data Migration
Average: 8.4
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
820,686 Twitter followers
LinkedIn® Page
www.linkedin.com
197,850 employees on LinkedIn®
Ownership
NYSE:ORCL
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Percona XtraDB Cluster (PXC) is a high availability, open-source, MySQL clustering solution that helps enterprises minimize unexpected downtime and data loss, reduce costs, and improve the performance

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Percona XtraDB Cluster (PXC) features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Data dictionary
    Average: 8.5
    10.0
    Backup and Recovery
    Average: 8.5
    10.0
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Percona
    Year Founded
    2006
    HQ Location
    Durham, North Carolina
    Twitter
    @Percona
    16,395 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    342 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Percona XtraDB Cluster (PXC) is a high availability, open-source, MySQL clustering solution that helps enterprises minimize unexpected downtime and data loss, reduce costs, and improve the performance

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
Percona XtraDB Cluster (PXC) features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Data dictionary
Average: 8.5
10.0
Backup and Recovery
Average: 8.5
10.0
Data Migration
Average: 8.4
Seller Details
Seller
Percona
Year Founded
2006
HQ Location
Durham, North Carolina
Twitter
@Percona
16,395 Twitter followers
LinkedIn® Page
www.linkedin.com
342 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Organizations rely on Rocket UniData, a best-in-class of the MultiValue application platform, for scalable business apps that can evolve as needs change. As a stable, secure, fast data server engine w

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rocket UniData features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    6.7
    Data dictionary
    Average: 8.5
    6.7
    Backup and Recovery
    Average: 8.5
    6.7
    Data Migration
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1990
    HQ Location
    Waltham, MA
    Twitter
    @Rocket
    3,530 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,339 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Organizations rely on Rocket UniData, a best-in-class of the MultiValue application platform, for scalable business apps that can evolve as needs change. As a stable, secure, fast data server engine w

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Rocket UniData features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
6.7
Data dictionary
Average: 8.5
6.7
Backup and Recovery
Average: 8.5
6.7
Data Migration
Average: 8.4
Seller Details
Year Founded
1990
HQ Location
Waltham, MA
Twitter
@Rocket
3,530 Twitter followers
LinkedIn® Page
www.linkedin.com
4,339 employees on LinkedIn®