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MemSQL vs Tile38: What are the differences?

# Introduction

Key differences between MemSQL and Tile38 are outlined below:

1. **Database Type**: MemSQL is a distributed, in-memory, SQL database management system, while Tile38 is an open-source geospatial database with a focus on location-based data.

2. **Primary Use Case**: MemSQL is primarily used for real-time analytics and operational applications that require high performance, scalability, and flexibility. In contrast, Tile38 is designed specifically for geospatial applications, spatial indexing, and querying geospatial data.

3. **Data Model**: MemSQL supports traditional SQL data modeling with tables, rows, and columns, suitable for relational data storage and processing. On the other hand, Tile38 focuses on geospatial data types such as points, lines, and polygons, offering specific functionalities for spatial queries.

4. **Architecture**: MemSQL utilizes a distributed architecture with a focus on in-memory processing to deliver high-performance analytics and query processing. Contrastingly, Tile38 is built on top of a single-node architecture optimized for geospatial operations and spatial indexing.

5. **Query Language**: MemSQL uses standard SQL for querying and manipulating data, providing a familiar interface for developers and analysts. In contrast, Tile38 offers its own query language tailored for geospatial operations, making it specialized for location-based data processing.

6. **Scalability**: MemSQL is designed for horizontal scalability and can be deployed in a distributed cluster to handle large volumes of data and high query loads efficiently. Tile38, while supporting replication for fault tolerance, is more focused on optimizing geospatial queries within a single instance.

In Summary, MemSQL and Tile38 differ in database type, primary use case, data model, architecture, query language, and scalability.

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    Ultra fast
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    Unlimited Storage Database
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    Mixed workload
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    What is MemSQL?

    MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

    What is Tile38?

    It is an open source (MIT licensed), in-memory geolocation data store, spatial index, and realtime geofence. It supports a variety of object types including lat/lon points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON.

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    Jobs that mention MemSQL and Tile38 as a desired skillset
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    What tools integrate with MemSQL?
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    What are some alternatives to MemSQL and Tile38?
    VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.
    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.
    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.
    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.
    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.
    See all alternatives