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Centralized MTIBU database vs Lovefield

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Centralized MTIBU database
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Centralized MTIBU database vs Lovefield: What are the differences?

What is Centralized MTIBU database? Record information on contracts of compulsory insurance. It is designed to record information on contracts of compulsory insurance of civil liability of owners of land vehicles (CA), information on cases of settlement of insurance events under these contracts, information on forms of contracts, as well as for the centralized maintenance of regulatory and reference information for this type of insurance.

What is Lovefield? A relational database for web apps, by Google. Written in JavaScript, works cross-browser. Provides SQL-like APIs that are fast, safe, and easy to use.

Centralized MTIBU database and Lovefield can be primarily classified as "Databases" tools.

Lovefield is an open source tool with 6.43K GitHub stars and 403 GitHub forks. Here's a link to Lovefield's open source repository on GitHub.

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Pros of Centralized MTIBU database
Pros of Lovefield
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      Relational database
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      No servers

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    Cons of Centralized MTIBU database
    Cons of Lovefield
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      • 1
        Limited memory store

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      No Stats
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      6.8K
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      What is Centralized MTIBU database?

      It is designed to record information on contracts of compulsory insurance of civil liability of owners of land vehicles (CA), information on cases of settlement of insurance events under these contracts, information on forms of contracts, as well as for the centralized maintenance of regulatory and reference information for this type of insurance.

      What is Lovefield?

      Written in JavaScript, works cross-browser. Provides SQL-like APIs that are fast, safe, and easy to use.

      Need advice about which tool to choose?Ask the StackShare community!

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      What are some alternatives to Centralized MTIBU database and Lovefield?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      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.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives

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