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TrailDB

2
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0
ZeroDB

4
25
+ 1
1
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TrailDB vs ZeroDB: What are the differences?

What is TrailDB? An efficient tool for storing and querying series of events, by AdRoll. TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

What is ZeroDB? Moving on-premise databases to the cloud, cheaply and securely. ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway. Data at rest and in use is secure - the cloud is no longer a single point of failure.

TrailDB and ZeroDB can be primarily classified as "Databases" tools.

TrailDB and ZeroDB are both open source tools. It seems that ZeroDB with 1.58K GitHub stars and 99 forks on GitHub has more adoption than TrailDB with 962 GitHub stars and 64 GitHub forks.

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    What is TrailDB?

    TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

    What is ZeroDB?

    ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway. Data at rest and in use is secure - the cloud is no longer a single point of failure.

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

    What are some alternatives to TrailDB and ZeroDB?
    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