The rise of cloud databases

While IDC expects the global datasphere to reach 175 zettabytes by 2025, this tremendous growth brings about new requirements for handling large volumes of information. As data formats become more diverse, traditional databases with their rigid schemas eventually make it difficult to store and query complex [...]

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Exponential growth of real-time data

Each year, the amount of data that high-load apps operate with, such as e-commerce and social networks, is only exponentially growing. According to a report by IDC, the Global Datasphere, the summation of all digital content, which was 33 ZB in 2018 will increase to 175 [...]

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This 2023 comparison evaluates the throughput and latency of four NoSQL databases as a service across different workloads and cluster configurations.

The post NoSQL DBaaS Performance: Couchbase Capella vs. MongoDB Atlas vs. Amazon DynamoDB vs. Redis Enterprise Cloud appeared first on Altoros.

Reducing the complexity of NoSQL systems

NoSQL systems provide superior performance and better scalability compared to traditional relational databases. While NoSQL systems can help to achieve the performance required by workloads today, they also entail significant effort and time for deployment, configuration management, and support. Performance drops caused by lag or [...]

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What was compared?

Today, we are announcing the results of our latest research paper that compares the performance of three NoSQL databases: Couchbase Server v6.60, MongoDB v4.2.11, and DataStax Enterprise v6.8.3 (Cassandra). The evaluation was conducted on three different cluster configurations—4, 10, and 20 nodes—as well as under four different workloads.

Couchbase [...]

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Why database as a service?

NoSQL solutions include a wide variety of database technologies that were developed in response to rapidly growing data sets, data structure organization, and data access management. In comparison, relational databases were not designed to provide the scalability and agility needed by modern high-load apps. While NoSQL [...]

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Today, we’re announcing the results of our latest performance benchmark report. The new study provides a comparative analysis of MySQL, Couchbase, and MongoDB queries in nine different business scenarios across seven metrics. It also features recommendations on the strengths of each of these three query languages and what specific business [...]

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A testing environment

Apache Spark is a popular technology for processing, managing, and analyzing big data. It is a unified analytics engine with built-in modules for SQL, stream processing, machine learning, and graph processing.

In this post, we will explore optimization techniques, which improve query run times for two particular modules of [...]

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Criteria essential for most enterprise deployments

Last week, during Couchbase Connect, we announced the results of our latest NoSQL technical comparison. The study analyzed the leading NoSQL systems—Cassandra (DataStax Enterprise v5.0), Couchbase Server (v5.0), and MongoDB (v3.4)—across 22 categories on a 10-point scale. We’ve been tracking the three databases for 5+ [...]

The post MongoDB 3.4 vs. Couchbase Server 5.0 vs. DataStax Enterprise 5.0 (Cassandra) appeared first on Altoros.

In most performance comparisons, Redis—an open-source key-value cache/store—is mainly treated as a caching-only solution. Others are only focused on a single provider. However, customers are interested in the deeper utilization of built-in data types and server-side operations. In production, you may have several loads that query your database simultaneously—with different types [...]

The post A Comparison of Redis Cloud, ElastiCache, openredis, RedisGreen, Redis To Go appeared first on Altoros.