EDB Postgres Advanced Server vs. SingleStore

Very well suited to applications mixing relational with NoSQL and/or complex data types, such as network analysis, JSON, key-value-pair, etc. Excellent if you have multiple programming languages in use (Python, Perl, R, etc.) because PPAS supports so many languages natively. Not well suited if you need encryption at rest, compressed data or very large database-tier backups. [Large backups should be done at the storage tier if possible.]

Incentivized

Well-Suited Scenarios: Real-Time Analytics: Financial trading platforms requiring instant insights. Operational Dashboards: Retail businesses monitoring live sales. IoT Data Processing: Smart device monitoring with high data ingestion. Fraud Detection: Banks detect suspicious transactions instantly. Less Appropriate Scenarios: Archival Storage: Cold data storage with infrequent access. Low-Volume Workloads: Small-scale apps with minimal data processing needs. Complex ETL Pipelines: Heavy data transformations without real-time demands.

Incentivized

• PPAS Oracle compatibility, especially the PL/SQL syntax, has made migrating database-tier code very simple. Most Oracle packages do not need to be changed at all and those that do are generally for simple reasons like a reserved word in PPAS that is allowed in Oracle.
• PPAS xDB, the multi-master replication tool, is simple and - most important - does not break with network or other interruptions. We have been able to configure and forget, which our customers could never do with other multi-master tools.
• Most people had no idea that PPAS and PostgreSQL have full CRUD support for JSON. They think you need a specialized product and/or that JSON is read-only. Every organization that I have worked with is evaluating adding JSON to their relational model.

Incentivized

• Return results of complex queries scanning TBs of data in sub-seconds.
• Customer support team answer tickets quickly and provide guidance.
• MySQL engine which allows to query using simple MySQL drivers from different clients.
• Queries profiling is easy to use and helps investigating performance.

Incentivized

• Documentation is excellent but spread out across many resources and can take a while to wade through—would benefit from having more intro level, getting started guides for various languages.
• Ruby support is excellent but more Ruby examples and beginner-level documentation would be nice.
• It is sometimes hard to find a community of users on StackOverflow so a larger community, and a dedicated forum with active members to answer questions and work through issues would be nice.

Incentivized

• It does not release a patch to have back porting; it just releases a new version and stops support; it's difficult to keep up to that pace.
• Support engineers lack expertise, but they seem to be improving organically.
• Lacks enterprise CDC capability: Change data capture (CDC) is a process that tracks and records changes made to data in a database and then delivers those changes to other systems in real time.
• For enterprise-level backup & restore capability, we had to implement our model via Velero snapshot backup.

Incentivized

We haven't seen a faster relation database. Period. Which is why we are super happy customers and will for sure renew our license.

Incentivized

[Until it is] supported on AWS ECS containers, I will reserve a higher rating for SingleStore. Right now it works well on EC2 and serves our current purpose, [but] would look forward to seeing SingleStore respond to our urge of feature in a shorter time period with high quality and security.

Incentivized

I really can't remember a time when it was not available

Incentivized

When it comes to ingestion speed, SingleStore is probably at the top. Being able to create pipelines using SQL to ingest data from S3, Kafka, and other sources, is a great advantages. This means you can dynamically ingest data by customizing your SQL queries. SingleStore pipelines are pretty sophisticated, yet very simple. Few lines of codes and you are ingesting data, while still able to perform analytical queries on your billions of row tables.

The support deep dives into our most complexed queries and bizarre issues that sometimes only we get comparing to other clients. Our special workload (thousands of Kafka pipelines + high concurrency of queries). The response match to the priority of the request, P1 gets immediate return call. Missing features are treated, they become a client request and being added to the roadmap after internal consideration on all client needs and priority. Bugs are patched quite fast, depends on the impact and feasible temporary workarounds. There is no issue that we haven't got a proper answer, resolution or reasoning

Incentivized

Would prefer in person training but for online training, it's almost as good as in person

Incentivized

We allowed 2-3 months for a thorough evaluation. We saw pretty quickly that we were likely to pick SingleStore, so we ported some of our stored procedures to SingleStore in order to take a deeper look. Two SingleStore people worked closely with us to ensure that we did not have any blocking problems. It all went remarkably smoothly.

Incentivized

We chose Postgres Plus Advanced Server because we had the finances to do so and needed the robust featureset, along with the power to optimize our performance and integrate with the development tools of our choosing. We audited a number of options, exploring potential solutions at various levels of robustness and decided that this was our best option moving forward.

Incentivized

Reduces database sprawl, ETL costs, infrastructure expenses, etc. Supports horizontal scaling, unlike PostgreSQL & Aurora, and real-time analytics and fast transactions (HTAP), unlike Snowflake & ClickHouse.Handles high-volume workloads with thousands of concurrent queries. No need for ETL processes, unlike BigQuery & Snowflake. Works with JSON, relational, and key-value data, unlike ClickHouse.

Incentivized

Very reliable. Coming from mariadb, singlestore has made our application more reliable and faster!

Incentivized

• Postgres Plus Advanced Server is quite complex and may take longer to implement certain things than simply using PostgreSQL depending on developer familiarity with the platform.
• Getting up to speed can be daunting so again, there is an upfront cost in time spent learning the platform, besides the potential for extra time spent on a feature-by-feature basis.
• The cost of Postgres Plus Advanced Server should be weighed against simply using PostgreSQL to decide which is the best solution for your business needs.

Incentivized

• Lower operational complexity - Installation and maintenance is pretty easy
• Object scale when used can compete with Traditional Warehouse Systems like Teradata, Netezza, Greenplum
• Adds lot of value to the business like couple of operations which never worked in traditional DBMS including HANA, Oracle In Memory, SQL Server In Memory just flew in SingleStore

Incentivized